Agent skill

mcp-servers

Pilot MCP server reference with API details, parameters, and usage examples. Use when: (1) using mem-search for persistent memory, (2) context7 for library docs, (3) web-search or web-fetch for web content, (4) grep-mcp for GitHub code search, (5) codebase-memory-mcp for structural analysis, (6) any MCP tool usage, (7) need ToolSearch query examples, (8) need MCP tool parameter reference.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/mcp-servers

SKILL.md

Pilot MCP Servers

MCP tools are lazy-loaded via ToolSearch. Discover tools by keyword, then call them directly.

ToolSearch(query="keyword")        # Discover and load tools by keyword
ToolSearch(query="+server keyword") # Require a specific server prefix
ToolSearch(query="select:full_tool_name") # Load a specific tool by exact name

All Pilot MCP servers use the mcp__plugin_pilot_ prefix. Tools are available immediately after ToolSearch returns them.


mem-search — Persistent Memory

Purpose: Search past work, decisions, and context across sessions.

3-step workflow (token-efficient — never skip to step 3):

Step Tool Purpose
1 search Find observations → returns index with IDs
2 timeline Get chronological context around an anchor ID
3 get_observations Fetch full details for specific IDs only
Tool Key Params
search query, limit, type, project, dateStart, dateEnd
timeline anchor (ID) or query, depth_before, depth_after
get_observations ids (array, required)
save_memory text (required), title, project

Types: bugfix, feature, refactor, discovery, decision, change

# Discover tools
ToolSearch(query="+mem-search search")

# Then call directly
mcp__plugin_pilot_mem-search__search(query="authentication flow", limit=5)
mcp__plugin_pilot_mem-search__timeline(anchor=22865, depth_before=3, depth_after=3)
mcp__plugin_pilot_mem-search__get_observations(ids=[22865, 22866])
mcp__plugin_pilot_mem-search__save_memory(text="Important finding", title="Short title")

context7 — Library Documentation

Purpose: Fetch up-to-date docs and code examples for any library/framework.

2-step workflow:

Step Tool Purpose
1 resolve-library-id Find library ID from name
2 query-docs Query docs using the resolved ID
ToolSearch(query="+context7 resolve")

mcp__plugin_pilot_context7__resolve-library-id(query="how to use fixtures", libraryName="pytest")
# → returns libraryId like "/pypi/pytest"
mcp__plugin_pilot_context7__query-docs(libraryId="/pypi/pytest", query="how to create and use fixtures")

Use descriptive queries. Max 3 calls per question per tool.


web-search — Web Search

Purpose: Search the web via DuckDuckGo, Bing, or Exa (no API keys needed).

Tool Purpose Key Params
search Web search query (required), limit (1-50), engines (duckduckgo/bing/exa)
fetchGithubReadme Fetch GitHub repo README url
fetchLinuxDoArticle Fetch linux.do article url
fetchCsdnArticle Fetch CSDN article url
fetchJuejinArticle Fetch Juejin article url
ToolSearch(query="+web-search search")

mcp__plugin_pilot_web-search__search(query="Python asyncio best practices 2026", limit=5)
mcp__plugin_pilot_web-search__fetchGithubReadme(url="https://github.com/astral-sh/ruff")

grep-mcp — GitHub Code Search

Purpose: Find real-world code examples from 1M+ public repositories.

Single tool: searchGitHub

Param Type Description
query string (required) Literal code pattern (not keywords)
language string[] Filter by language: ["Python"], ["TypeScript", "TSX"]
repo string Filter by repo: "vercel/next-auth"
path string Filter by file path: "src/components/"
useRegexp boolean Regex mode. Prefix with (?s) for multiline
matchCase boolean Case-sensitive search
ToolSearch(query="+grep-mcp searchGitHub")

mcp__plugin_pilot_grep-mcp__searchGitHub(query="FastMCP", language=["Python"])
mcp__plugin_pilot_grep-mcp__searchGitHub(query="(?s)useEffect\\(.*cleanup", useRegexp=True, language=["TypeScript"])

web-fetch — Web Page Fetching

Purpose: Fetch full web pages via Playwright (no truncation, handles JS-rendered pages).

Tool Purpose Key Params
fetch_url Fetch single page url (required), timeout, extractContent, maxLength
fetch_urls Fetch multiple pages urls (array, required), same options as above
browser_install Install Chromium withDeps, force
ToolSearch(query="+web-fetch fetch")

mcp__plugin_pilot_web-fetch__fetch_url(url="https://docs.example.com/api")
mcp__plugin_pilot_web-fetch__fetch_urls(urls=["https://a.com", "https://b.com"])

Options: waitUntil (load/domcontentloaded/networkidle), returnHtml, waitForNavigation (for anti-bot pages).


codebase-memory-mcp — Code Knowledge Graph

Purpose: Structural code analysis, call tracing, dead code detection, and impact analysis via a persistent code graph.

Complements Probe CLI: Probe finds code by intent ("how does auth work?"). codebase-memory finds by structure ("who calls this?", "what's dead?", "what's the blast radius?").

Key tools:

Tool Purpose
index_repository Parse repo into graph (once — auto-sync keeps it fresh)
search_graph Find functions/classes by name pattern, label, degree
trace_call_path BFS call chain — who calls X, what does X call
detect_changes Map git diff to affected symbols + blast radius
get_code_snippet Source code + caller/callee metadata
query_graph Cypher-like graph queries
get_architecture Codebase overview (languages, packages, hotspots, entry points)
search_code Grep-like text search within indexed files

Workflow: Check index_statusindex_repository if needed → search_graph / trace_call_path / query_graph

ToolSearch(query="+codebase-memory-mcp search")

mcp__plugin_pilot_codebase-memory-mcp__search_graph(label="Function", name_pattern=".*Handler.*")
mcp__plugin_pilot_codebase-memory-mcp__trace_call_path(function_name="ProcessOrder", direction="both", depth=2)
mcp__plugin_pilot_codebase-memory-mcp__detect_changes(scope="all")
mcp__plugin_pilot_codebase-memory-mcp__get_code_snippet(qualified_name="MyClass", auto_resolve=true, include_neighbors=true)

When to use over Probe:

  • Call tracing / impact analysis (Probe can't do this)
  • Dead code detection (max_degree=0, exclude_entry_points=true)
  • Structural queries via Cypher (class methods, interface implementations)
  • Change blast radius analysis
  • Code snippets with caller/callee context

When Probe is better:

  • Intent-based search ("how does authentication work?")
  • Natural language queries
  • AST-aware code extraction by line/symbol

Full reference in skills: codebase-memory-reference, codebase-memory-tracing, codebase-memory-exploring, codebase-memory-quality.


Tool Selection Quick Reference

Need Server/Tool Reference
Codebase search Probe CLI (probe search) cli-tools.md
Extract code block Probe CLI (probe extract) cli-tools.md
AST pattern matching Probe CLI (probe query) cli-tools.md
Call tracing / impact analysis codebase-memory-mcp trace_call_path, detect_changes
Dead code / quality analysis codebase-memory-mcp search_graph with degree filters
Structural graph queries codebase-memory-mcp query_graph (Cypher)
Past work / decisions mem-search searchtimelineget_observations
Library/framework docs context7 resolve-library-idquery-docs
Web search web-search search
GitHub README web-search fetchGithubReadme
Production code examples grep-mcp searchGitHub
Full web page content web-fetch fetch_url / fetch_urls

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