deepwiki-mcp
DeepWiki MCP server for AI-powered GitHub repository documentation and Q&A
Best use case
deepwiki-mcp is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
DeepWiki MCP server for AI-powered GitHub repository documentation and Q&A
Teams using deepwiki-mcp should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/deepwiki-mcp/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How deepwiki-mcp Compares
| Feature / Agent | deepwiki-mcp | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
DeepWiki MCP server for AI-powered GitHub repository documentation and Q&A
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# DeepWiki MCP Skill
> AI-powered documentation and Q&A for any public GitHub repository
**Version**: 1.0.0
**Trit**: 0 (Ergodic - coordinates knowledge retrieval)
**Bundle**: research
**Provider**: Cognition (Devin AI) - Official, Free, No Auth Required
## Overview
DeepWiki MCP provides programmatic access to AI-generated documentation for any public GitHub repository indexed on [DeepWiki.com](https://deepwiki.com/). It enables:
1. **Wiki Structure**: Get table of contents for any repo's documentation
2. **Wiki Contents**: Read AI-generated documentation for specific topics
3. **Ask Questions**: Get AI-powered answers grounded in repository context
## Server Configuration
### Base URL
```
https://mcp.deepwiki.com/
```
### Wire Protocols
| Protocol | URL | Best For |
|----------|-----|----------|
| **SSE** | `https://mcp.deepwiki.com/sse` | Claude, most clients |
| **Streamable HTTP** | `https://mcp.deepwiki.com/mcp` | OpenAI, Cloudflare, Amp |
## Tools
### 1. `read_wiki_structure`
Get the documentation topic tree for a GitHub repository.
```json
{
"tool": "read_wiki_structure",
"params": {
"repo_owner": "AlgebraicJulia",
"repo_name": "ACSets.jl"
}
}
```
Returns: List of documentation topics/sections
### 2. `read_wiki_contents`
Read documentation for a specific topic.
```json
{
"tool": "read_wiki_contents",
"params": {
"repo_owner": "AlgebraicJulia",
"repo_name": "ACSets.jl",
"topic": "Overview"
}
}
```
Returns: AI-generated documentation content
### 3. `ask_question`
Ask any question about a repository with AI-powered, context-grounded response.
```json
{
"tool": "ask_question",
"params": {
"repo_owner": "AlgebraicJulia",
"repo_name": "Catlab.jl",
"question": "How do wiring diagrams compose?"
}
}
```
Returns: AI-powered answer with repository context
## Client Configuration
### Amp / Codex (.mcp.json)
```json
{
"mcpServers": {
"deepwiki": {
"serverUrl": "https://mcp.deepwiki.com/mcp"
}
}
}
```
### Claude Desktop
```json
{
"mcpServers": {
"deepwiki": {
"serverUrl": "https://mcp.deepwiki.com/sse"
}
}
}
```
### Claude Code (CLI)
```bash
claude mcp add -s user -t http deepwiki https://mcp.deepwiki.com/mcp
```
### Cursor / Windsurf
Add to `.cursor/mcp.json`:
```json
{
"mcpServers": {
"deepwiki": {
"serverUrl": "https://mcp.deepwiki.com/sse"
}
}
}
```
## GF(3) Triad Integration
| Trit | Skill | Role |
|------|-------|------|
| -1 | hatchery-papers | Validates academic sources |
| 0 | **deepwiki-mcp** | Coordinates repo knowledge |
| +1 | bmorphism-stars | Generates from starred repos |
**Conservation**: (-1) + (0) + (+1) = 0 ✓
### Additional Triads
```
hatchery-papers (-1) ⊗ deepwiki-mcp (0) ⊗ bmorphism-stars (+1) = 0 ✓ [Research]
persistent-homology (-1) ⊗ deepwiki-mcp (0) ⊗ gay-mcp (+1) = 0 ✓ [Documentation]
sheaf-cohomology (-1) ⊗ deepwiki-mcp (0) ⊗ topos-generate (+1) = 0 ✓ [Knowledge]
three-match (-1) ⊗ deepwiki-mcp (0) ⊗ cider-clojure (+1) = 0 ✓ [Clojure Repos]
polyglot-spi (-1) ⊗ deepwiki-mcp (0) ⊗ gay-mcp (+1) = 0 ✓ [Cross-Lang Docs]
```
## Use Cases
### 1. Understand New Libraries
```
"Read the documentation structure for react/react and explain the hooks system"
```
### 2. Answer Technical Questions
```
"How does Catlab.jl implement natural transformations?"
```
### 3. Compare Implementations
```
"Compare how ACSets.jl and Catlab.jl handle graph homomorphisms"
```
### 4. Explore Category Theory Libraries
```
"What topics are covered in AlgebraicJulia/AlgebraicDynamics.jl documentation?"
```
## Indexing Your Repository
To make your public GitHub repo available via DeepWiki MCP:
1. Visit [DeepWiki.com](https://deepwiki.com/)
2. Enter your repository URL
3. Wait for indexing to complete
4. Add the DeepWiki badge to your README:
```markdown
[](https://deepwiki.com/owner/repo)
```
## Related Resources
- [DeepWiki.com](https://deepwiki.com/) - Web interface
- [Devin Docs](https://docs.devin.ai/work-with-devin/deepwiki-mcp) - Official documentation
- [MCP Specification](https://modelcontextprotocol.io/) - Protocol details
## ACSet Skill Integration
Both `deepwiki-mcp` and `acsets-algebraic-databases` are **ERGODIC (trit 0)** — they substitute for each other in triads and coordinate knowledge transport.
### Qualified Workflow
| Phase | deepwiki-mcp | acsets skill | Verification |
|-------|--------------|--------------|--------------|
| **Discovery** | `read_wiki_structure` | Schema patterns | ✓ Catlab.jl has 16 topic pages |
| **Q&A** | `ask_question` | Formal definitions | ✓ ACSet = Functor C → Set confirmed |
| **Apply** | Code examples | Specter navigation | ✓ `oapply` documented in Catlab |
| **Debug** | "Why does X fail?" | Check naturality | ✓ HomSearch uses BacktrackingSearch |
### Verified DeepWiki ↔ ACSets Correspondence
From DeepWiki `ask_question("AlgebraicJulia/Catlab.jl", "How do ACSets work...")`:
| DeepWiki Response | ACSets Skill | Match |
|-------------------|--------------|-------|
| "ACSet represents a functor from schema to Set" | `C-set = Functor X: C → Set` | ✓ |
| "ACSetFunctor wraps ACSet for functorial view" | ∫G category of elements | ✓ |
| "BacktrackingSearch (CSP-based, MRV heuristic)" | `homomorphisms(G, complete_graph(k))` | ✓ |
| "VMSearch (compiled virtual machine)" | Specter zero-overhead navigation | ✓ |
### Repository Indexing Status (Verified 2025-12-22)
| Repository | DeepWiki Status | Topics |
|------------|-----------------|--------|
| `AlgebraicJulia/Catlab.jl` | ✅ Indexed | 16 pages (GATs, CSets, HomSearch, WiringDiagrams...) |
| `AlgebraicJulia/ACSets.jl` | ❌ Needs indexing | Visit https://deepwiki.com/AlgebraicJulia/ACSets.jl |
| `AlgebraicJulia/AlgebraicDynamics.jl` | ❌ Needs indexing | Visit https://deepwiki.com/AlgebraicJulia/AlgebraicDynamics.jl |
| `AlgebraicJulia/StructuredDecompositions.jl` | ❌ Needs indexing | Visit https://deepwiki.com/AlgebraicJulia/StructuredDecompositions.jl |
| `redplanetlabs/agent-o-rama` | ✅ Indexed | 28 pages (Rama PStates, Agent Topologies, Tool Calling...) |
| `discopy/discopy` | ✅ Indexed | 23 pages (Monoidal Categories, Quantum Circuits, QNLP...) |
### Cross-Skill Examples
**Example 1: ACSets + Catlab.jl**
```julia
# 1. Query DeepWiki for oapply semantics
mcp__deepwiki__ask_question("AlgebraicJulia/Catlab.jl",
"How does oapply compose undirected wiring diagrams?")
# 2. Apply via ACSets skill patterns
@present SchUWD(FreeSchema) begin
Box::Ob; Port::Ob; Junction::Ob; OuterPort::Ob
box::Hom(Port, Box)
junction::Hom(Port, Junction)
outer_junction::Hom(OuterPort, Junction)
end
# 3. oapply = colimit of component diagram (verified by DeepWiki)
composite = oapply(wiring_diagram, components)
```
**Example 2: DisCoPy for Quantum/Categorical Diagrams**
```python
# Query DisCoPy documentation
mcp__deepwiki__ask_question("discopy/discopy",
"How do monoidal categories compose with tensor products?")
# DisCoPy has 23 pages covering:
# - Monoidal, Rigid, Symmetric, Frobenius categories
# - Quantum circuits and gates
# - QNLP (Quantum Natural Language Processing)
# - Tensor network backends
```
**Example 3: Agent-o-rama for Rama Integration**
```clojure
;; Query agent-o-rama patterns
mcp__deepwiki__ask_question("redplanetlabs/agent-o-rama",
"How do PStates store agent invocation state?")
;; 28 pages covering:
;; - Agent Modules and Topology
;; - PStates and Depots storage
;; - Tool Calling Integration
;; - Human-in-the-Loop Workflows
```
## See Also
- `hatchery-papers` - Academic paper research
- `bmorphism-stars` - GitHub stars index
- `librarian` - Codebase understanding agent
- `exa` - Web search MCP
- `acsets-algebraic-databases` - ACSet computational patterns (trit 0, substitutes in triads)
---
**Skill Name**: deepwiki-mcp
**Type**: Repository Documentation / Q&A
**Trit**: 0 (ERGODIC)
**GF(3)**: Coordinates knowledge flow
**Auth**: None required (free)
**Scope**: All public GitHub repos indexed on DeepWiki.com
**Qualified**: 2025-12-22 (verified against acsets skill)Related Skills
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