leanblueprint-mcp
MCP server for rendering Lean 4 blueprint dependency graphs from structured theorem data.
Works with any MCP-compatible client (Claude Desktop, Cursor, VS Code, Continue, etc.).
Install
pip install leanblueprint-mcp
Or from source:
pip install -e .
Prerequisites
pip install plastex plastexdepgraph leanblueprint
| Package | Purpose |
|---|---|
| Python 3.10+ | Runtime |
plastex |
LaTeX → HTML compiler |
plastexdepgraph |
Dependency graph generation (DOT → d3-graphviz) |
leanblueprint |
Blueprint LaTeX macros, CSS, Lean declaration tracking |
Optional:
| Dependency | Purpose | Install |
|---|---|---|
Lean 4 (elan) |
.lean code generation + lake build |
https://lean-lang.org/lean4/doc/setup.html |
MCP Client Configuration
Claude Desktop
{
"mcpServers": {
"leanblueprint": {
"command": "python",
"args": ["-m", "leanblueprint_mcp.server"]
}
}
}
Codex / Cursor / Continue
{
"mcpServers": {
"leanblueprint": {
"command": "leanblueprint-mcp"
}
}
}
Tools
leanblueprint_render
Takes a JSON description of mathematical theorems, their proofs, and interdependencies, and compiles them into a color-coded interactive HTML dependency graph.
See AGENTS.md for the full input schema and usage examples for LLM agents.
License
MIT
Metadata
Release files for leanblueprint-mcp 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| leanblueprint_mcp-0.1.3.tar.gz | 14.5 kB | Without provenance | Details for leanblueprint_mcp-0.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| leanblueprint_mcp-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for leanblueprint_mcp-0.1.3-py3-none-any.whl |
Total release size: 30.6 kB
Release files / leanblueprint_mcp-0.1.3.tar.gz
| Download URL | leanblueprint_mcp-0.1.3.tar.gz |
|---|---|
| Size | 14.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4335bc38bd95cb340743661d07532de8f21ac2bfbf1af1a34b3f3b7cf39613da
|
|
BLAKE2b-256 checksum How to use checksums |
be15f9fddee0a6a807a815a621c83b549758cefd3dfe64c1d1996e3ea080362e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.9
|
Release files / leanblueprint_mcp-0.1.3-py3-none-any.whl
| Download URL | leanblueprint_mcp-0.1.3-py3-none-any.whl |
|---|---|
| Size | 16.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
46987e5d11ebcee4558a2fcb58751dd88fd1b7b1c45c4aae432024ddfb84abdd
|
|
BLAKE2b-256 checksum How to use checksums |
1663fa257f048c16e59ff5601d6549656353870140c155092540104af27363ef
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.9
|
Security for leanblueprint-mcp 0.1.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.