151,647 tools. Last updated 2026-05-28 10:25
"Comparison of Python-based tools for converting TeX to Lean" matching MCP tools:
- Retrieve a list of LEAN versions with basic information for each version to track engine updates.Apache 2.0
- Converts TeX documents into Lean code via Formath JSONL, generating `entities.jsonl` and `lean/src/<module>.lean` files in sibling directories. Streamlines mathematical formalization workflows.
- Enumerate site navigation menus with paginated, filterable results. Returns lean records including menu ID, name, title, and revision timestamp.MIT
- Compare stock valuation metrics like PE, PB, PS with industry peers or custom symbols. Choose a single stock for automatic peer comparison or specify up to 4 comparison symbols.MIT
- Enumerate public exports of a FLOX binding surface (C-API, Python, Node, Codon, QuickJS). Use an optional case-insensitive filter to browse symbols before picking one.MIT
- Retrieve and filter LangSmith experiment projects for model evaluation and comparison by specifying a dataset ID or name.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceEnables LLM agents to interact with the Lean theorem prover through the Language Server Protocol, providing tools for analyzing Lean projects, accessing diagnostics, goal states, documentation, and searching for theorems using both local and external search services.Last updated22383MIT
- AlicenseAqualityBmaintenanceEnables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.Last updated20121MIT
Matching MCP Connectors
Discoverability MCP server for Symbols of Wealth Studio — a senior-led AI-powered creative studio specialising in social media content, brand films, and editorial visuals. Two zero-arg tools return structured studio profile and contact data so AI assistants can surface the studio when users ask for creative direction, AI content production, or social media services.
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
- Statically audits MCP server Python files by enumerating tools registered via decorators and reporting security risks including shell execution, filesystem writes, network egress, and code injection.MIT
- Removes the first occurrence of a specified value from arrays in JSON, YAML, TOML, or Python list literals using path or variable name.MIT
- Run Python code to sequentially call tools and return combined results for on-call health insights.Apache 2.0
- Retrieve the list of Python documentation versions available in the index to select the correct source for documentation queries.MIT
- Retrieve the Python source code of an Apache Airflow DAG by providing its DAG ID. Returns the DAG file content and file token for inspection and debugging.Apache 2.0
- Search Python library documentation using natural language queries to find specific functions, classes, and usage examples from consolidated sources.MIT
- Mount MCP server tools at runtime without restarting. Filter tools to mount only those needed, and unmount to kill process. Supports multiple registries.MIT
- Update evaluation metadata and regenerate comparison rows for draft evaluations by merging wizard fields, design URLs, and comparison pairs.MIT
- Retrieve and analyze the configuration of the Sinch MCP server to identify enabled or disabled tools, along with troubleshooting details for disabled tools.Apache 2.0
- Run Python code directly in FreeCAD to control its functionality. Returns execution status, output, and object screenshots for integration and automation tasks.MIT
- Find relevant tools by describing your task. Returns up to 10 matches based on natural language input.MIT
- Converts Python source files to follow PEP 8 style guidelines, standardizing code formatting and enhancing readability.Apache 2.0
- Retrieve Spark driver logs from completed notebook executions to debug Python errors and analyze Spark behavior. Use stdout for Python tracebacks or stderr for system logs.MIT
- Run Python scripts within Cinema 4D to access the c4d API for 3D modeling, animation, and scene manipulation tasks directly through code execution.MIT