Skill Seekers Builder
yusufkaraaslan/Skill_Seekers
Detects the type of a knowledge source and uses the Skill Seekers MCP tools to turn docs, repos, PDFs or videos into packaged AI skills.
Generate an MCP server card JSON (mcp-gateway-registry format) by analyzing server source code in a folder or GitHub URL.
$ npx skills add agentic-community/mcp-gateway-registry --skill generate-server-card -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-server-card --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/generate-server-card .claude/skills/generate-server-card && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "generate-server-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-server-card into .claude/skills/generate-server-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-server-card", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-server-cardType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentic-community/mcp-gateway-registry --skill generate-server-card -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-server-card --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/generate-server-card .agents/skills/generate-server-card && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "generate-server-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-server-card into .agents/skills/generate-server-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-server-card", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentic-community/mcp-gateway-registry --skill generate-server-card -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-server-card --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/generate-server-card .cursor/skills/generate-server-card && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "generate-server-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-server-card into .cursor/skills/generate-server-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-server-card", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentic-community/mcp-gateway-registry.git --path .claude/skills/generate-server-card--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentic-community/mcp-gateway-registry --skill generate-server-card -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-server-card --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/generate-server-card .gemini/skills/generate-server-card && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "generate-server-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-server-card into .gemini/skills/generate-server-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-server-card", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentic-community/mcp-gateway-registry generate-server-cardInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentic-community/mcp-gateway-registry --skill generate-server-card -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/generate-server-card .github/skills/generate-server-card && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "generate-server-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-server-card into .github/skills/generate-server-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-server-card", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentic-community/mcp-gateway-registry --skill generate-server-card -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentic-community/mcp-gateway-registry generate-server-card --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/generate-server-card .opencode/skills/generate-server-card && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "generate-server-card" agent skill from https://github.com/agentic-community/mcp-gateway-registry/tree/main/.claude/skills/generate-server-card into .opencode/skills/generate-server-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-server-card", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
generate-server-cardGenerate an MCP server card JSON (mcp-gateway-registry format) by analyzing server source code in a folder or GitHub URL.
Generate Server Card is an agent skill from agentic-community/mcp-gateway-registry. Generate an MCP server card JSON (mcp-gateway-registry format) by analyzing server source code in a folder or GitHub URL. Studies code to detect server name, tools, transport, auth, and generates a registry-compatible config.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol and GitHub. The repository describes itself as: Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI… The licence is Apache-2.0.
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ec3a197. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
geo-mcp-abc123.gateway.bedrock-agentcore.us-east-1.amazonaws.comaws.amazon.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Generate Server Card loads about 2.7k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 676 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from agentic-community/mcp-gateway-registry at commit ec3a197, republished under its Apache-2.0 licence (© agentic-community). 676 words, ~2,686 tokens.
.claude/skills/generate-server-card/SKILL.md (or your agent's skills folder).Generate an MCP server card JSON file in the mcp-gateway-registry format by analyzing the source code at $ARGUMENTS.
This format is used by https://github.com/agentic-community/mcp-gateway-registry for registering MCP servers in the gateway registry.
Do NOT just skim the top-level files. MCP servers can be complex, multi-file projects. You MUST thoroughly explore the entire folder structure before generating the card.
If $ARGUMENTS is a local folder path, use Glob to find ALL Python files, YAML/JSON configs, and README files in the folder and its subfolders. Read every relevant file.
If $ARGUMENTS is a GitHub URL, use WebFetch to read the raw file contents. Follow imports to discover additional files.
Where to look (MCP servers are not always a single file):
main.py, app.py, server.py, __main__.py, mcp_server.py@mcp.tool(), @server.tool(), @tool, tool handler functions, tool registrations.json or .yaml files in openapi-specs/, specs/, api/ folders - these define the tools when an API is exposed as MCPpyproject.toml, requirements.txt, .bedrock_agentcore.yaml, deploy_*.py, docker-compose.yml.deployment_info.json, .roo.json - these have the actual MCP endpoint URLFrom the code, detect:
@tool decorators, tool registrations, OpenAPI operationIds, function definitionsstreamable-http, sse, stdio - from server framework confignone, bearer JWT, API key, OAuth2, Cognito - from deployment scripts or middleware1.0.0active, beta, etc.Create a JSON file following the mcp-gateway-registry server config format.
{
"server_name": "string - Human-readable server name",
"description": "string - What the server does",
"path": "string - URL path prefix on the gateway, must start with /",
"proxy_pass_url": "string - Backend URL to proxy to",
"tags": ["string - Relevant tags for discovery"],
"supported_transports": ["streamable-http"]
}{
"auth_scheme": "string - none, bearer, api_key, oauth2",
"mcp_endpoint": "string - Custom MCP endpoint URL if different from proxy_pass_url",
"version": "string - Server version e.g. 1.0.0",
"status": "string - active, beta, deprecated",
"visibility": "string - public or private",
"provider_organization": "string - Organization name",
"provider_url": "string - Organization URL",
"num_tools": 0,
"license": "string - License identifier e.g. MIT, Apache-2.0",
"metadata": {
"category": "string - e.g. documentation, geolocation, utility",
"official": false,
"mcp_compatible": "1.0"
},
"tool_list": []
}"tool_list": [] (empty array)num_tools to the correct count (for informational purposes)path must start with //geo-mcp, /cloudflare-docs.deployment_info.json for the gateway name if available.deployment_info.json, .roo.json, or .bedrock_agentcore.yaml for the actual deployed URLproxy_pass_url: the backend URL the gateway proxies tomcp_endpoint: the full MCP endpoint URL that clients connect to (if different from proxy_pass_url)https://<GATEWAY_URL>/mcpstreamable-http: most common for remote MCP servers, HTTP-basedsse: Server-Sent Events based transportstdio: local process communication (not for remote servers)["streamable-http"] for gateway-deployed servers"bearer" or describe as "custom_jwt""api_key""none"authorizerType, customJWTAuthorizer, bearer token usage{server_name}_server_card.json using the detected server name in snake_caseAfter writing the file, validate it by running this Python script via Bash:
python3 -c "
import json
import sys
file_path = '<OUTPUT_FILE_PATH>'
# Step 1: JSON format check
try:
with open(file_path) as f:
card = json.load(f)
print('PASS: Valid JSON format')
except json.JSONDecodeError as e:
print(f'FAIL: Invalid JSON - {e}')
sys.exit(1)
# Step 2: Required fields
errors = []
REQUIRED = ['server_name', 'description', 'path', 'proxy_pass_url', 'tags', 'supported_transports']
for field in REQUIRED:
if field not in card:
errors.append(f'Missing required field: {field}')
elif field in ('server_name', 'description', 'path', 'proxy_pass_url') and not isinstance(card[field], str):
errors.append(f'{field} must be a string')
elif field in ('tags', 'supported_transports') and not isinstance(card[field], list):
errors.append(f'{field} must be an array')
# Step 3: Path must start with /
if 'path' in card and isinstance(card['path'], str) and not card['path'].startswith('/'):
errors.append('path must start with /')
# Step 4: proxy_pass_url must be a valid URL
if 'proxy_pass_url' in card and isinstance(card['proxy_pass_url'], str):
if not card['proxy_pass_url'].startswith(('http://', 'https://')):
errors.append('proxy_pass_url must start with http:// or https://')
# Step 5: tags must be non-empty
if not card.get('tags'):
errors.append('tags must have at least one entry')
# Step 6: supported_transports must be non-empty
if not card.get('supported_transports'):
errors.append('supported_transports must have at least one entry')
valid_transports = ['streamable-http', 'sse', 'stdio']
for t in card.get('supported_transports', []):
if t not in valid_transports:
errors.append(f'Unknown transport: {t}, must be one of {valid_transports}')
# Step 7: Validate tool_list is an empty array
if 'tool_list' in card:
if not isinstance(card['tool_list'], list):
errors.append('tool_list must be an array')
elif len(card['tool_list']) > 0:
errors.append('tool_list must be empty ([]) - do not populate individual tool entries')
# Step 8: num_tools must be present and a non-negative integer
if 'num_tools' in card:
if not isinstance(card['num_tools'], int) or card['num_tools'] < 0:
errors.append('num_tools must be a non-negative integer')
# Step 9: Report results
if errors:
print(f'FAIL: {len(errors)} validation error(s):')
for e in errors:
print(f' - {e}')
sys.exit(1)
else:
tool_count = len(card.get('tool_list', []))
transport_count = len(card.get('supported_transports', []))
print(f'PASS: All required fields present ({tool_count} tool(s), {transport_count} transport(s))')
"Replace <OUTPUT_FILE_PATH> with the actual path of the generated JSON file.
If validation fails, fix the errors in the JSON and re-run validation until all checks pass. Do NOT report success to the user until validation passes.
After validation passes, output results in EXACTLY this format:
Validation passed. Here's a summary of the generated server card:
Output file: <filename>.json
Detected from code:
- Server name: <ServerName> (from <how it was detected>)
- Tools: <count> - <tool_name> (<brief description>), ...
- Transport: <streamable-http|sse|stdio> (<why>)
- Auth: <none|bearer|api_key|oauth2> (<details>)
- MCP endpoint: <URL or placeholder>
- Proxy pass URL: <URL or placeholder>
- Status: <active|beta>
- Provider: <org name> or <not detected>If validation fails, show the errors first, fix them, re-validate, and only show the summary above after all checks pass.
{
"server_name": "Minimal MCP Server",
"description": "A minimal server configuration with only required fields",
"path": "/minimal-server",
"proxy_pass_url": "http://minimal-server:9001/",
"supported_transports": ["streamable-http"],
"tags": ["mcp", "minimal", "example"]
}{
"server_name": "Geolocation MCP Server",
"description": "IP geolocation lookup via ipwho.is, deployed on Amazon Bedrock AgentCore Gateway with Cognito JWT auth",
"path": "/geo-mcp",
"proxy_pass_url": "https://geo-mcp-abc123.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp",
"supported_transports": ["streamable-http"],
"auth_scheme": "bearer",
"tags": ["geolocation", "ip-lookup", "aws", "bedrock-agentcore"],
"num_tools": 1,
"version": "1.0.0",
"status": "active",
"visibility": "public",
"provider_organization": "AWS",
"provider_url": "https://aws.amazon.com",
"license": "MIT",
"metadata": {
"category": "geolocation",
"official": false,
"mcp_compatible": "1.0"
},
"tool_list": []
}© agentic-community, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/generate-server-card of agentic-community/mcp-gateway-registry.
Open the folder on GitHubat commit ec3a197
Generate Server Card next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Generate Server Card this skillagentic-community/mcp-gateway-registry | 964 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Skill Seekers Builderyusufkaraaslan/Skill_Seekers | 15k | — | ~760 | Automated safety check: Pass | MIT | |
| MCP Apps Builderawslabs/cli-agent-orchestrator | 1.4k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Releasejgravelle/jcodemunch-mcp | 2.7k | — | ~6.5k | Automated safety check: Pass | Custom licence | |
| Open PRArcadeAI/arcade-mcp | 1k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Triage Security Advisoriesactivepieces/activepieces | 25k | — | ~3.9k | Automated safety check: Pass | Custom licence |
yusufkaraaslan/Skill_Seekers
Detects the type of a knowledge source and uses the Skill Seekers MCP tools to turn docs, repos, PDFs or videos into packaged AI skills.
awslabs/cli-agent-orchestrator
Load the official MCP Apps builder skills (create-mcp-app, migrate-oai-app, add-app-to-server, convert-web-app) from github.com/modelcontextprotocol/ext-apps.
jgravelle/jcodemunch-mcp
Publishing a jMunch release (jcodemunch-mcp, jdocmunch-mcp, jdatamunch-mcp, jragmunch-cli), reviewing/merging/closing PRs, and responding to the community.
ArcadeAI/arcade-mcp
Prepare arcade-mcp changes for review by verifying intended behavior, filling the repository PR template, and creating or updating the PR.
activepieces/activepieces
Triage the GitHub privately-reported vulnerability backlog for Activepieces — pull repository security advisories from the Security tab, scope-check against SECURITY.md, deeply validate each…
woocommerce/woocommerce-ios
Set up the ContextA8C MCP server for accessing Automattic internal resources (Slack, Linear, P2s, GitHub Enterprise, etc.)
agentic-community/mcp-gateway-registry
Explain a GitHub issue or pull request at 100, 200, and 300 level.
agentic-community/mcp-gateway-registry
Debug issues in the MCP Gateway Registry using first-principles thinking.
agentic-community/mcp-gateway-registry
Keep Terraform and CDK infrastructure in sync. An agent skill from agentic-community/mcp-gateway-registry.
agentic-community/mcp-gateway-registry
Generate a search quality benchmark for the AI Registry. An agent skill from agentic-community/mcp-gateway-registry.
agentic-community/mcp-gateway-registry
Write prose people will actually read. An agent skill from agentic-community/mcp-gateway-registry.
agentic-community/mcp-gateway-registry
Given an MCP server URL, probe the server via curl to discover its metadata and tools, then generate a markdown file with copy-pasteable content for each field in the Amazon Bedrock AgentCore…
Works with
Categories
Generate an MCP server card JSON (mcp-gateway-registry format) by analyzing server source code in a folder or GitHub URL. Generate Server Card is an agent skill from agentic-community/mcp-gateway-registry. Generate an MCP server card JSON (mcp-gateway-registry format) by analyzing server source code in a folder or GitHub URL.
Generate Server Card fits situations like: tasks that involve MCP servers.
Run `npx skills add agentic-community/mcp-gateway-registry --skill generate-server-card -a claude-code`. Or copy the skill folder (.claude/skills/generate-server-card in agentic-community/mcp-gateway-registry) into .claude/skills/generate-server-card in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentic-community/mcp-gateway-registry --skill generate-server-card -a codex`. Or copy the skill folder (.claude/skills/generate-server-card in agentic-community/mcp-gateway-registry) into .agents/skills/generate-server-card in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentic-community/mcp-gateway-registry --skill generate-server-card -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-server-card, .gemini/skills/generate-server-card, .github/skills/generate-server-card and .opencode/skills/generate-server-card in your project.
Going by SKILL.md and its folder, Generate Server Card needs the command-line tools its instructions call (python3). Our summary lists: Python 3; Docker.
SKILL.md names 2 domains. In commands or code: geo-mcp-abc123.gateway.bedrock-agentcore.us-east-1.amazonaws.com and aws.amazon.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Generate Server Card is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Generate Server Card: Skill Seekers Builder (yusufkaraaslan/Skill_Seekers, 15k stars), MCP Apps Builder (awslabs/cli-agent-orchestrator, 1.4k stars), Release (jgravelle/jcodemunch-mcp, 2.7k stars) and Open PR (ArcadeAI/arcade-mcp, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentic-community (a GitHub organization) maintains it in agentic-community/mcp-gateway-registry, which has 964 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.
Source: agentic-community/mcp-gateway-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.