Generate MCP Server
trycompai/comp
A skill your agent uses when generating an MCP server from an OpenAPI spec with Speakeasy.
Helps developers configure and extend the Video Search and Summarization sample app's spec-driven FastMCP proxy for VSS search.
$ npx skills add open-edge-platform/edge-ai-libraries --skill vss-mcp-integration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-mcp-integration --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/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration .claude/skills/vss-mcp-integration && 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 "vss-mcp-integration" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration into .claude/skills/vss-mcp-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-mcp-integration", 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/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integrationType 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 open-edge-platform/edge-ai-libraries --skill vss-mcp-integration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-mcp-integration --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration .agents/skills/vss-mcp-integration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vss-mcp-integration" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration into .agents/skills/vss-mcp-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-mcp-integration", 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 open-edge-platform/edge-ai-libraries --skill vss-mcp-integration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-mcp-integration --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration .cursor/skills/vss-mcp-integration && 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 "vss-mcp-integration" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration into .cursor/skills/vss-mcp-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-mcp-integration", 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/open-edge-platform/edge-ai-libraries.git --path sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration--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 open-edge-platform/edge-ai-libraries --skill vss-mcp-integration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-mcp-integration --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration .gemini/skills/vss-mcp-integration && 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 "vss-mcp-integration" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration into .gemini/skills/vss-mcp-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-mcp-integration", 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 open-edge-platform/edge-ai-libraries vss-mcp-integrationInstalls 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 open-edge-platform/edge-ai-libraries --skill vss-mcp-integration -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .github/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration .github/skills/vss-mcp-integration && 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 "vss-mcp-integration" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration into .github/skills/vss-mcp-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-mcp-integration", 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 open-edge-platform/edge-ai-libraries --skill vss-mcp-integration -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries vss-mcp-integration --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration .opencode/skills/vss-mcp-integration && 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 "vss-mcp-integration" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration into .opencode/skills/vss-mcp-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-mcp-integration", 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.
vss-mcp-integrationHelps developers configure and extend the Video Search and Summarization sample app's spec-driven FastMCP proxy for VSS search.
Vss MCP Integration is an agent skill from open-edge-platform/edge-ai-libraries. Helps developers configure and extend the Video Search and Summarization sample app's spec-driven FastMCP proxy for VSS search. Use when the user wants to connect an AI agent to VSS search, add an MCP tool to VSS, configure the VSS MCP server / filters, run the FastMCP proxy, or debug why isn't my MCP tool showing up.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `BENCHMARK.md`, `evals/evals.json` and `evals/trigger-evals.json`).
It sits in Agent Workflows, covering MCP servers and Summarization. It works with Model Context Protocol and OpenAPI. The repository describes itself as: Libraries, microservices, tools, and other reference software, supporting development of performance-optimized Edge AI applications. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cdf860c. 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.
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
bashdockerpoetryFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
MCP_PROXY_AUTH_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Vss MCP Integration loads about 1.5k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 568 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 noted patterns worth knowing about, such as sudo or a known installer.
cp .env.example .envAutomated 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); the scripts in this folder are not scanned.
The full file from open-edge-platform/edge-ai-libraries at commit cdf860c, republished under its Apache-2.0 licence (© open-edge-platform). 568 words, ~1,506 tokens.
.claude/skills/vss-mcp-integration/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.Use this for sample-applications/video-search-and-summarization/mcp: the Search-mode MCP server that proxies selected VSS REST endpoints to agents via FastMCP.
This skill drives the Video Search & Summarization app through its real source files, so the VSS application must be present and you must run commands from its app root. Do this before anything else, and it works whether or not the VSS source is already in your workspace.
Run the bundled bootstrap. It first tries to find an existing VSS checkout -
walking up from the current directory and inspecting the enclosing git repo - and
reuses it without ever re-cloning. Only when no checkout is found does it do a
shallow, single-branch, sparse checkout of just
sample-applications/video-search-and-summarization from main. It prints the
resolved app root on stdout:
# SKILL_DIR is THIS skill's own directory (shown to you when the skill loads);
# in-repo it is .github/skills/vss-mcp-integration. Works the same if the skill is installed standalone.
SKILL_DIR=".github/skills/vss-mcp-integration"
APP_ROOT="$(bash "$SKILL_DIR/scripts/vss-bootstrap.sh")"
cd "$APP_ROOT"Every command below assumes the working directory is this APP_ROOT. To pull
from a fork/branch or reuse a specific checkout dir, override VSS_REPO_URL,
VSS_REPO_BRANCH, or VSS_CLONE_DIR before running it.
Read these before changing behavior: mcp/src/server.py, mcp/src/core/config.py, mcp/src/filters/config.py, mcp/src/openapi/{loader.py,mapping.py}, mcp/search.json, mcp/compose.yaml, mcp/.env.example, mcp/README.md, docs/user-guide/mcp-server.md, and mcp/tests/*.
Startup path: src.main:main calls get_settings(), get_mcp(), then server.run(transport="streamable-http", host=MCP_HOST, port=MCP_PORT, path=MCP_PATH, stateless_http=MCP_STATELESS_HTTP).
create_mcp() in mcp/src/server.py:
Settings;FILTER_FILE_PATH with load_filter_config();API_SPEC_URL;httpx.AsyncClient(base_url=API_BASE_URL);FastMCP.from_openapi(...) with:mcp_names=build_mcp_names(spec, filter_config)route_map_fn=build_route_map_fn(filter_config)mcp_component_fn=build_component_fn(filter_config)The filter is allow-list based. Operations not listed in apis are mapped to MCPType.EXCLUDE. This spec-driven design is why a path/method mismatch can look like a missing tool: the OpenAPI route is simply excluded rather than treated as an error.
From mcp/:
cp .env.example .env
docker compose up --build -dEdit VSS_IP and HOST_IP first. Defaults: MCP server http://<HOST_IP>:8000/mcp; Inspector http://<HOST_IP>:6274. In Inspector, choose Streamable HTTP and connect to the MCP URL.
For local Poetry runs, set all required env vars explicitly:
cd sample-applications/video-search-and-summarization/mcp
API_SPEC_URL=http://<VSS_IP>:12345/manager/swagger/json \
API_BASE_URL=http://<VSS_IP>:12345/manager \
FILTER_FILE_PATH="$PWD/search.json" \
poetry run mcp-appRequired by mcp/src/core/config.py: API_SPEC_URL, API_BASE_URL, FILTER_FILE_PATH.
Optional: REQUEST_TIMEOUT default 60, LOG_LEVEL default INFO, MCP_HOST default 0.0.0.0, MCP_PORT default 8000, MCP_PATH default /mcp, MCP_STATELESS_HTTP default true.
Compose also uses VSS_IP, HOST_IP, INSPECTOR_CLIENT_PORT, DANGEROUSLY_OMIT_AUTH, MCP_PROXY_AUTH_TOKEN, and proxy vars.
Edit mcp/search.json or point FILTER_FILE_PATH to another JSON file. Format:
{
"server_name": "vss_search_mcp",
"prefix": "vss",
"apis": {
"POST /search/query": {
"type": "tool",
"name": "run_search_query",
"description": "Execute an immediate natural-language search."
}
}
}Rules from mcp/src/filters/config.py:
"METHOD /path" entries matching the OpenAPI path, e.g. "GET /videos/{videoId}".GET, PUT, POST, DELETE, PATCH, HEAD, OPTIONS; wildcards are rejected.type is only "tool" or "resource"; resources must be GET.name, prefix, and server_name must be valid identifiers; final names are {prefix}_{name}.name values are rejected across tools/resources.expose / tool_name are rejected.Restart the MCP server after changing the filter; it reads the spec and filter at startup.
API_SPEC_URL must return JSON with paths.FILTER_FILE_PATH exists inside the process/container. Compose mounts ./search.json to /app/search.json.{param} names.operationId; build_mcp_names() only renames filtered operations with operation IDs.LOG_LEVEL=DEBUG to see [exclude], [tool], [resource], and rename logs from mcp/src/openapi/mapping.py.POST /videos is intentionally not exposed in the user guide; uploads should use the REST API directly.See references/mcp-spec-driven.md for the detailed spec/filter model and an example.
© open-edge-platform, 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
SKILL.md and 13 other files (scripts, references) in sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration of open-edge-platform/edge-ai-libraries.
Open the folder on GitHubat commit cdf860c
Vss MCP Integration 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 |
|---|---|---|---|---|---|---|
| Vss MCP Integration this skillopen-edge-platform/edge-ai-libraries | 169 | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | |
| Generate MCP Servertrycompai/comp | 2k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderalirezarezvani/claude-skills | 28k | — | ~985 | Automated safety check: Pass | MIT | |
| CLI MCP DocsChatbotXIO/ChatbotX | 881 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| MCP Server Builderborghei/Claude-Skills | 886 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Kingdee MCP DevWaHaiLong/KingdeeMCP | 105 | — | ~853 | Automated safety check: Pass | MIT |
trycompai/comp
A skill your agent uses when generating an MCP server from an OpenAPI spec with Speakeasy.
alirezarezvani/claude-skills
Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers.
ChatbotXIO/ChatbotX
Use as the last step of every new feature or new operation (every one ships a public procedure — AGENTS.md invariant 23), and after adding, renaming, or removing a public oRPC procedure or changing…
borghei/Claude-Skills
Build MCP (Model Context Protocol) servers with tool definitions, resource providers, prompt templates, and transports.
WaHaiLong/KingdeeMCP
Knowledge base for the Kingdee MCP Dev Squad. An agent skill from WaHaiLong/KingdeeMCP.
secondsky/sap-skills
Assists with SAP HANA Developer CLI (hana-cli) for database development and administration.
open-edge-platform/edge-ai-libraries
Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up with Docker Compose (from a repo clone, or by fetching the compose files from…
open-edge-platform/edge-ai-libraries
Scaffolds and wires a new NestJS service/module for the Video Search & Summarization sample app's pipeline-manager using the repo's real conventions.
open-edge-platform/edge-ai-libraries
Deploy Chat Question-and-Answer Core to Kubernetes using Helm (OpenVINO CPU, OpenVINO GPU, or Ollama), including values.yaml configuration, helm install/upgrade, deployment verification, uninstall…
open-edge-platform/edge-ai-libraries
Generates or updates CHANGELOG.md by analyzing git commit history between two branches, tags, or revisions in ANY git repository or folder.
open-edge-platform/edge-ai-libraries
Deploys and manages VSS through setup.sh and its Docker Compose overlays.
open-edge-platform/edge-ai-libraries
A skill your agent uses whenever a developer needs to deploy VSS to Kubernetes, helm install VSS, configure values.yaml for VSS, or run VSS on k8s with GPU/vLLM for the…
Works with
Categories
Helps developers configure and extend the Video Search and Summarization sample app's spec-driven FastMCP proxy for VSS search. Vss MCP Integration is an agent skill from open-edge-platform/edge-ai-libraries. Helps developers configure and extend the Video Search and Summarization sample app's spec-driven FastMCP proxy for VSS search.
Vss MCP Integration fits situations like: the user wants to connect an AI agent to VSS search; add an MCP tool to VSS; configure the VSS MCP server / filters; run the FastMCP proxy.
Run `npx skills add open-edge-platform/edge-ai-libraries --skill vss-mcp-integration -a claude-code`. Or copy the skill folder (sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration in open-edge-platform/edge-ai-libraries) into .claude/skills/vss-mcp-integration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add open-edge-platform/edge-ai-libraries --skill vss-mcp-integration -a codex`. Or copy the skill folder (sample-applications/video-search-and-summarization/.github/skills/vss-mcp-integration in open-edge-platform/edge-ai-libraries) into .agents/skills/vss-mcp-integration 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 open-edge-platform/edge-ai-libraries --skill vss-mcp-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vss-mcp-integration, .gemini/skills/vss-mcp-integration, .github/skills/vss-mcp-integration and .opencode/skills/vss-mcp-integration in your project.
Going by SKILL.md and its folder, Vss MCP Integration needs a shell for the scripts in its folder, the command-line tools its instructions call (bash, docker and poetry) and credentials named MCP_PROXY_AUTH_TOKEN. Our summary lists: A Bash shell; Docker; A credential in MCP_PROXY_AUTH_TOKEN.
SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Vss MCP Integration 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 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Vss MCP Integration: Generate MCP Server (trycompai/comp, 2k stars), MCP Server Builder (alirezarezvani/claude-skills, 28k stars), CLI MCP Docs (ChatbotXIO/ChatbotX, 881 stars) and MCP Server Builder (borghei/Claude-Skills, 886 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
open-edge-platform (a GitHub organization) maintains it in open-edge-platform/edge-ai-libraries, which has 169 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 9, 2026.
Source: open-edge-platform/edge-ai-libraries on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.