MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Configure the address and network access of an existing MCP server or gateway in an AICP project, then check whether its plugin package reflects the new address.
$ npx skills add speakeasy-api/gram --skill configure-private-mcp-access -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install speakeasy-api/gram configure-private-mcp-access --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/speakeasy-api/gram.git skills-src && mkdir -p .claude/skills && cp -r skills-src/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access .claude/skills/configure-private-mcp-access && 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 "configure-private-mcp-access" agent skill from https://github.com/speakeasy-api/gram/tree/main/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access into .claude/skills/configure-private-mcp-access/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-private-mcp-access", 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/speakeasy-api/gram/tree/main/server/internal/plugins/platform_mcp_skills/configure-private-mcp-accessType 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 speakeasy-api/gram --skill configure-private-mcp-access -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install speakeasy-api/gram configure-private-mcp-access --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .agents/skills && cp -r skills-src/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access .agents/skills/configure-private-mcp-access && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "configure-private-mcp-access" agent skill from https://github.com/speakeasy-api/gram/tree/main/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access into .agents/skills/configure-private-mcp-access/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-private-mcp-access", 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 speakeasy-api/gram --skill configure-private-mcp-access -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install speakeasy-api/gram configure-private-mcp-access --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access .cursor/skills/configure-private-mcp-access && 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 "configure-private-mcp-access" agent skill from https://github.com/speakeasy-api/gram/tree/main/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access into .cursor/skills/configure-private-mcp-access/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-private-mcp-access", 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/speakeasy-api/gram.git --path server/internal/plugins/platform_mcp_skills/configure-private-mcp-access--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 speakeasy-api/gram --skill configure-private-mcp-access -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install speakeasy-api/gram configure-private-mcp-access --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access .gemini/skills/configure-private-mcp-access && 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 "configure-private-mcp-access" agent skill from https://github.com/speakeasy-api/gram/tree/main/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access into .gemini/skills/configure-private-mcp-access/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-private-mcp-access", 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 speakeasy-api/gram configure-private-mcp-accessInstalls 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 speakeasy-api/gram --skill configure-private-mcp-access -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .github/skills && cp -r skills-src/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access .github/skills/configure-private-mcp-access && 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 "configure-private-mcp-access" agent skill from https://github.com/speakeasy-api/gram/tree/main/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access into .github/skills/configure-private-mcp-access/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-private-mcp-access", 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 speakeasy-api/gram --skill configure-private-mcp-access -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install speakeasy-api/gram configure-private-mcp-access --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/speakeasy-api/gram.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access .opencode/skills/configure-private-mcp-access && 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 "configure-private-mcp-access" agent skill from https://github.com/speakeasy-api/gram/tree/main/server/internal/plugins/platform_mcp_skills/configure-private-mcp-access into .opencode/skills/configure-private-mcp-access/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-private-mcp-access", 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.
configure-private-mcp-accessConfigure the address and network access of an existing MCP server or gateway in an AICP project, then check whether its plugin package reflects the new address.
Configure Private MCP Access is an agent skill from speakeasy-api/gram. Configure the address and network access of an existing MCP server or gateway in an AICP project, then check whether its plugin package reflects the new address.
Its SKILL.md is about 1.7k 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. The repository describes itself as: Securely scale AI usage across your organization. A single stack to Connect, Secure, Observe and Distribute agents, MCPs, and Skills within your company. The licence is AGPL-3.0.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b4c4904. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Configure Private MCP Access loads about 1.7k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 988 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 speakeasy-api/gram at commit b4c4904, republished under its AGPL-3.0 licence (© speakeasy-api). 988 words, ~1,723 tokens.
.claude/skills/configure-private-mcp-access/SKILL.md (or your agent's skills folder).Use the authenticated Speakeasy AI Control Plane (AICP) Platform MCP. Installing a plugin does not grant organization access, network access, or authorization to change an MCP. This workflow changes the address or network mode of an existing MCP server (including a hosted toolset) or gateway, not its upstream URL, its plugin membership, or its users' permissions. Hosted toolset network mode is managed through its canonical MCP server target; its address remains toolset-owned and must be changed in the dashboard.
list_projects and ask the administrator to select an exact project. The list caps at 100; if truncated, use the AICP dashboard to select the project rather than assuming the first page is complete.list_plugins for that project and ask which existing plugin is affected. Call get_plugin for that exact plugin. Follow membership_next_cursor until all its members are listed. If a membership changes mid-pagination, restart. Preserve each typed target ID; do not guess an MCP from a display name or substitute a different server for a hosted toolset's canonical MCP server.get_mcp_connection_settings with its project_id, target_kind, and target_id. Explain the current endpoints, network mode, configured ingress and plugin memberships. These are settings and observations, not evidence that a tailnet or client can connect. Stop if the target is ambiguous, unproxied, hidden, or the private address cannot be resolved safely.get_mcp_network_traffic for the selected project_id and target_id with window: "7d". For its target_kind, use mcp for an MCP server or gateway for a gateway (connection settings instead uses mcp_server or gateway). Report observed public and private request counts and last-seen times before proposing the exact transition among public_only, dual, and private_only. Counts cover only observed requests while telemetry was enabled: zero does not prove a route is unused or that every client has migrated. If traffic reporting is unavailable, say so and require an independent client inventory before cutting off either route. Explain that private_only can break public clients, while dual retains public access. A private mode requires the server's admission and ingress readiness checks; do not infer readiness from a configured DNS name alone.get_mcp_connection_settings for the same exact target. Explain the proposed change and ask for explicit confirmation. Call set_mcp_address or set_mcp_network_access only after confirmation, with the fresh version as expected_version and a stable idempotency_key for that exact request. On conflict or refusal, re-read and request confirmation again. Never silently retry with a different target or value.get_mcp_connection_settings again to check current settings. Call get_plugin for every affected plugin and compare its publication evidence and desired package addresses. An enqueued request is not a published package; fresh: null is unknown, and fresh: false means the package needs a refresh. Read fresh together with last_publish: queued, running, or retrying means an update is already on its way, so read get_plugin again later instead of republishing; failed with failure_category: repository_conflict cannot be fixed by republishing, so do not retry it and send the administrator to Speakeasy support; last_publish.unavailable: true means the attempt could not be read, so do not infer a failure; if the publication evidence reports not_configured: true, no publish has ever been recorded and republish_plugin would refuse it, so send the administrator to the dashboard or Speakeasy support instead of offering it. If the package still reports fresh: false without an update on its way or a repository conflict, and the administrator wants it refreshed now, explain that republishing regenerates every plugin in the project, ask for explicit confirmation, then call republish_plugin with the exact project_id selected in step 1, that exact plugin, confirmed: true, and a stable idempotency_key. If the outcome is already_current, report that the package is already current and that no publish was requested. If it is enqueued, it is only a request that can be accepted before its run starts: treat it as pending until last_publish.requested_at is later than the republish or the publication evidence reports fresh: true (a republish can fold into a run already in flight without moving requested_at), read get_plugin again later before reporting the package as current, and never treat an older failed or succeeded attempt as the new request failing or being missed, or republish again because of it. If republish_plugin refuses: for not_configured, report that no package repository is connected and present the returned Plugins link; for not_found or ambiguous_target, ask the user for the exact plugin and do not hand off to the dashboard; for rate_limited, say nothing changed and do not retry automatically. If emission is disabled, the best-effort signal fails, the tool is unavailable, or the package cannot be verified, say so plainly and use the dashboard. Do not claim installed clients have refreshed or OAuth sessions have reconnected.Never request or transmit API keys, OAuth codes, client secrets, access tokens, network credentials, or upstream authentication headers in chat. A public gateway does not become private because a member MCP is private; configure each selected endpoint independently.
© speakeasy-api, AGPL-3.0. 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 server/internal/plugins/platform_mcp_skills/configure-private-mcp-access of speakeasy-api/gram.
Open the folder on GitHubat commit b4c4904
Configure Private MCP Access 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 |
|---|---|---|---|---|---|---|
| Configure Private MCP Access this skillspeakeasy-api/gram | 273 | — | ~1.7k | Automated safety check: Pass | AGPL-3.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Context Mode Output Sandboxmksglu/context-mode | 26k | — | ~4.1k | Automated safety check: Pass | Custom licence |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
warpdotdev/warp
Migrates the compatible subset of settings and global file-based MCP servers from the Warp desktop app into Warp Agent CLI without exposing credentials or state.
speakeasy-api/gram
A skill your agent uses when automating the Speakeasy dashboard in a browser, capturing screenshots, inspecting pages.
speakeasy-api/gram
A skill your agent uses when adding, changing, restyling, reviewing, validating, or previewing a Speakeasy transactional email, in Go or in LMX/MJML — a template<name.go, a TemplateKey constant, a…
speakeasy-api/gram
A skill your agent uses when adding, changing, or styling UI in client/admin (the Speakeasy admin dashboard) that touches shadcn/ui — a button, dialog, table, sidebar, badge, select, tabs, tooltip…
speakeasy-api/gram
A skill your agent uses when adding, editing, reviewing, testing, or locating a reviewed skill distributed with the Platform MCP plugin; triggers include "Platform MCP skill", "platformmcpskills"…
speakeasy-api/gram
A skill your agent uses when changing or reviewing Speakeasy ClickHouse schemas, migrations, queries, inserts, access principals, bootstrap SQL, Cloud compatibility, partial migration failures, or…
speakeasy-api/gram
A skill your agent uses when gating a feature behind a flag, dogfooding or gradually rolling out a change, choosing between productfeatures and PostHog feature flags, adding or checking a product…
Works with
Categories
Configure the address and network access of an existing MCP server or gateway in an AICP project, then check whether its plugin package reflects the new address. Configure Private MCP Access is an agent skill from speakeasy-api/gram. Configure the address and network access of an existing MCP server or gateway in an AICP project, then check whether its plugin package reflects the new address.
Configure Private MCP Access fits situations like: tasks that involve MCP servers.
Run `npx skills add speakeasy-api/gram --skill configure-private-mcp-access -a claude-code`. Or copy the skill folder (server/internal/plugins/platform_mcp_skills/configure-private-mcp-access in speakeasy-api/gram) into .claude/skills/configure-private-mcp-access in your project. Claude Code loads it when a task matches its description.
Run `npx skills add speakeasy-api/gram --skill configure-private-mcp-access -a codex`. Or copy the skill folder (server/internal/plugins/platform_mcp_skills/configure-private-mcp-access in speakeasy-api/gram) into .agents/skills/configure-private-mcp-access 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 speakeasy-api/gram --skill configure-private-mcp-access -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configure-private-mcp-access, .gemini/skills/configure-private-mcp-access, .github/skills/configure-private-mcp-access and .opencode/skills/configure-private-mcp-access in your project.
SKILL.md names no scripts, command-line tools or credentials: Configure Private MCP Access is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Configure Private MCP Access is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k 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 Configure Private MCP Access: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
speakeasy-api (a GitHub organization) maintains it in speakeasy-api/gram, which has 273 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 10, 2026.
Source: speakeasy-api/gram on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.