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.
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_status → index_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 | search → timeline → get_observations |
| Library/framework docs | context7 | resolve-library-id → query-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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