DeepWiki MCP server for AI-powered GitHub repository documentation and
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill deepwiki-mcp-plurigrid-asi-2 --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Deepwiki Mcp Plurigrid Asi 2?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/majiayu000-deepwiki-mcp-plurigrid-asi-2)More formats (shields.io, HTML) on the badges page.
---
name: deepwiki-mcp
description: DeepWiki MCP server for AI-powered GitHub repository documentation and
Q&A
metadata:
trit: 0
bundle: research
---
# 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)
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!