/mcp-servers
Install, configure, authenticate, and troubleshoot MCP (Model Context Protocol) servers for this agent. Use when the user asks to add/install/remove an MCP server, connect a tool like Linear/Sentry/Supabase/GitHub via MCP, set up mcp.json, or when MCP tools are failing or need
Claude Code
$ npx -y skills add posthog/posthog --skill mcp-servers --agent claude-code
Codex
$ npx skills add posthog/posthog --skill mcp-servers -a codex -y
Cursor
$ npx skills add posthog/posthog --skill mcp-servers -a cursor -y
Gemini CLI
$ npx skills add posthog/posthog --skill mcp-servers -a gemini-cli -y
GitHub Copilot
$ npx skills add posthog/posthog --skill mcp-servers -a github-copilot -y
OpenCode
$ npx skills add posthog/posthog --skill mcp-servers -a opencode -y
Windsurf
$ npx skills add posthog/posthog --skill mcp-servers -a windsurf -y
SKILL.md
mcp-servers.SKILL.mdname: mcp-servers
description: Install, configure, authenticate, and troubleshoot MCP (Model Context Protocol) servers for this agent. Use when the user asks to add/install/remove an MCP server, connect a tool like Linear/Sentry/Supabase/GitHub via MCP, set up mcp.json, or when MCP tools are failing or need OAuth login.
MCP servers
This agent has a built-in MCP client. Servers are declared in `mcp.json`; their tools appear as `mcp_<server>_<tool>` once connected. The model can also always find and call MCP tools via a single `mcp` proxy tool (`mcp({ search: "..." })` / `mcp({ tool: "...", args }`) without their schemas ever being loaded into context, and without a `lifecycle: "lazy"` server being connected until one of its tools is actually needed — see "Context window control" below.
Config files
| File | Scope | | --- | --- | | `~/.pi/agent/mcp.json` | global (all projects) | | `<project>/.pi/mcp.json` | project-local, only honored in trusted projects |
Project entries override global entries with the same server name; project `settings` keys override global ones per key. Prefer project-local config for project-specific servers, global for personal/general-purpose ones. Create the file if it doesn't exist.
**Applying changes:** config is read at session start. After editing `mcp.json`, tell the user to run `/reload` (this re-reads config, restarts servers, and refreshes tools). You cannot run `/reload` yourself.
Config format
{
"settings": {
"toolPrefix": "mcp",
"requestTimeoutMs": 30000,
"maxRetries": 3,
"searchResultLimit": 15
},
"mcpServers": {
"<server-name>": { ... }
}
}`settings` is optional. Server names: keep them short and lowercase; they become part of tool names.
Local (stdio) server — spawned as a subprocess
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/workspace"],
"env": { "SOME_VAR": "literal-value" }
}
}
}- `command` is required; `transport` defaults to `"stdio"`.
- `env` values are literals merged over the parent environment — there is **no**
`${VAR}` interpolation. If a server needs a secret, ask the user to provide it or reference their shell environment by launching via a wrapper script.
- Most published servers run via `npx -y <package>` (Node) or `uvx <package>` (Python).
If unsure of the package name, search the web for "<product> MCP server".
Remote (HTTP) server
{
"mcpServers": {
"internal": {
"transport": "streamable-http",
"url": "https://mcp.example.com/mcp",
"headers": { "Authorization": "Bearer <api-key>" }
}
}
}- `transport`: `"streamable-http"` (preferred) or `"sse"` (legacy); `url` required.
- `headers` is for static API-key auth. Never invent keys — ask the user for theirs.
Remote server with OAuth (user login in browser)
{
"mcpServers": {
"linear": {
"transport": "streamable-http",
"url": "https://mcp.linear.app/mcp",
"auth": { "type": "oauth" }
}
}
}- `auth: { "type": "oauth" }` is enough for most servers (discovery + dynamic client
registration + PKCE are automatic). Optional fields: `scope`, `clientId`, `clientSecret`, `redirectUrl` (only for pre-registered clients), `clientName`.
- After `/reload`, the first connection will fail with "Authentication required" —
that is expected. Start the login yourself with the `mcp_auth` tool (opens the user's browser), or tell the user to run `/mcp:auth <server-name>`. Tokens are stored and refreshed automatically afterwards.
- OAuth is only valid for `streamable-http`/`sse`, not `stdio`.
- If dynamic client registration is rejected (e.g. a client-name policy error), set
`"clientName"` in the `auth` object and retry.
Other per-server options
- `lifecycle`: `"lazy"` (default — starts on first use of one of its tools via the `mcp`
proxy tool, or manually with `/mcp:start <name>`) or `"eager"` (starts at session start). Use eager only for a server you want connected from the very first turn.
- `requestTimeoutMs`, `healthCheckIntervalMs`: numeric overrides, rarely needed.
- `idleTimeoutMs`: `lifecycle: "lazy"` only — auto-disconnect this many ms after the
server's last tool call. Good for servers used in bursts, e.g. `600000` (10 min).
- `description`: one-line summary shown by `mcp` search before this server has ever
connected (its real tool list isn't known yet). Set this on lazy servers so the model can find them via search before the first connection.
- `directTools`: `false` (default — all tools stay searchable-only via `mcp`), `true`
(all tools load straight into context), or an array of MCP-side tool names to keep direct while the rest stay proxy-only. Set `true` (or list specific names) only for a small server used on nearly every turn, where a `search` round-trip isn't worth it.
Context window control (the `mcp` proxy tool)
A single `mcp` tool is always available, independent of `mcp.json`:
- `mcp({ search: "keywords" })` — finds relevant tools/servers by keyword, including
ones that are not currently connected (their cached or configured `description` metadata is searched instead of connecting).
- `mcp({ tool: "<name>", args: '{"key":"value"}' })` — calls a tool by its exact name
(from search), starting its server automatically if needed. Passing a bare server name instead of a tool name connects that server and lists its tools without calling anything.
You do not need to do anything for this to work — it's automatic for every configured server. Only mention `directTools`/`idleTimeoutMs`/`description` to the user if they ask about reducing context usage or about servers not starting immediately.
Workflow for "install X MCP server"
1. Find the server's package name (stdio) or MCP endpoint URL (remote). Use web search if unsure; official docs usually show an `mcpServ
Read more
name: mcp-servers description: Install, configure, authenticate, and troubleshoot MCP (Model Context Protocol) servers for this agent. Use when the user asks to add/install/remove an MCP server, connect a tool like Linear/Sentry/Supabase/GitHub via MCP, set up mcp.json, or when MCP tools are failing or need OAuth login.
MCP servers
This agent has a built-in MCP client. Servers are declared in `mcp.json`; their tools appear as `mcp_<server>_<tool>` once connected. The model can also always find and call MCP tools via a single `mcp` proxy tool (`mcp({ search: "..." })` / `mcp({ tool: "...", args }`) without their schemas ever being loaded into context, and without a `lifecycle: "lazy"` server being connected until one of its tools is actually needed — see "Context window control" below.
Config files
| File | Scope | | --- | --- | | `~/.pi/agent/mcp.json` | global (all projects) | | `<project>/.pi/mcp.json` | project-local, only honored in trusted projects |
Project entries override global entries with the same server name; project `settings` keys override global ones per key. Prefer project-local config for project-specific servers, global for personal/general-purpose ones. Create the file if it doesn't exist.
**Applying changes:** config is read at session start. After editing `mcp.json`, tell the user to run `/reload` (this re-reads config, restarts servers, and refreshes tools). You cannot run `/reload` yourself.
Config format
{
"settings": {
"toolPrefix": "mcp",
"requestTimeoutMs": 30000,
"maxRetries": 3,
"searchResultLimit": 15
},
"mcpServers": {
"<server-name>": { ... }
}
}`settings` is optional. Server names: keep them short and lowercase; they become part of tool names.
Local (stdio) server — spawned as a subprocess
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/workspace"],
"env": { "SOME_VAR": "literal-value" }
}
}
}- `command` is required; `transport` defaults to `"stdio"`.
- `env` values are literals merged over the parent environment — there is **no**
`${VAR}` interpolation. If a server needs a secret, ask the user to provide it or reference their shell environment by launching via a wrapper script.
- Most published servers run via `npx -y <package>` (Node) or `uvx <package>` (Python).
If unsure of the package name, search the web for "<product> MCP server".
Remote (HTTP) server
{
"mcpServers": {
"internal": {
"transport": "streamable-http",
"url": "https://mcp.example.com/mcp",
"headers": { "Authorization": "Bearer <api-key>" }
}
}
}- `transport`: `"streamable-http"` (preferred) or `"sse"` (legacy); `url` required.
- `headers` is for static API-key auth. Never invent keys — ask the user for theirs.
Remote server with OAuth (user login in browser)
{
"mcpServers": {
"linear": {
"transport": "streamable-http",
"url": "https://mcp.linear.app/mcp",
"auth": { "type": "oauth" }
}
}
}- `auth: { "type": "oauth" }` is enough for most servers (discovery + dynamic client
registration + PKCE are automatic). Optional fields: `scope`, `clientId`, `clientSecret`, `redirectUrl` (only for pre-registered clients), `clientName`.
- After `/reload`, the first connection will fail with "Authentication required" —
that is expected. Start the login yourself with the `mcp_auth` tool (opens the user's browser), or tell the user to run `/mcp:auth <server-name>`. Tokens are stored and refreshed automatically afterwards.
- OAuth is only valid for `streamable-http`/`sse`, not `stdio`.
- If dynamic client registration is rejected (e.g. a client-name policy error), set
`"clientName"` in the `auth` object and retry.
Other per-server options
- `lifecycle`: `"lazy"` (default — starts on first use of one of its tools via the `mcp`
proxy tool, or manually with `/mcp:start <name>`) or `"eager"` (starts at session start). Use eager only for a server you want connected from the very first turn.
- `requestTimeoutMs`, `healthCheckIntervalMs`: numeric overrides, rarely needed.
- `idleTimeoutMs`: `lifecycle: "lazy"` only — auto-disconnect this many ms after the
server's last tool call. Good for servers used in bursts, e.g. `600000` (10 min).
- `description`: one-line summary shown by `mcp` search before this server has ever
connected (its real tool list isn't known yet). Set this on lazy servers so the model can find them via search before the first connection.
- `directTools`: `false` (default — all tools stay searchable-only via `mcp`), `true`
(all tools load straight into context), or an array of MCP-side tool names to keep direct while the rest stay proxy-only. Set `true` (or list specific names) only for a small server used on nearly every turn, where a `search` round-trip isn't worth it.
Context window control (the `mcp` proxy tool)
A single `mcp` tool is always available, independent of `mcp.json`:
- `mcp({ search: "keywords" })` — finds relevant tools/servers by keyword, including
ones that are not currently connected (their cached or configured `description` metadata is searched instead of connecting).
- `mcp({ tool: "<name>", args: '{"key":"value"}' })` — calls a tool by its exact name
(from search), starting its server automatically if needed. Passing a bare server name instead of a tool name connects that server and lists its tools without calling anything.
You do not need to do anything for this to work — it's automatic for every configured server. Only mention `directTools`/`idleTimeoutMs`/`description` to the user if they ask about reducing context usage or about servers not starting immediately.
Workflow for "install X MCP server"
1. Find the server's package name (stdio) or MCP endpoint URL (remote). Use web search if unsure; official docs usually show an `mcpServ
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Questions about mcp-servers.
- Which coding agents can use mcp-servers?
- mcp-servers installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

