Open Source MCP CLient Library
@bittush8789
About Open Source MCP CLient Library
No overview available yet
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Open Source MCP CLient Library?
Open Source MCP CLient Library (mcp-use) is an open source Python library that connects any LangChain-supported LLM to MCP tools, enabling developers to build custom agents with tool access without using closed source or application clients.
How to use Open Source MCP CLient Library?
Install via pip install mcp-use and optionally a LangChain provider package (e.g., langchain-openai). Configure an MCP server using a dictionary or JSON file, create an MCPClient and a LangChain LLM that supports tool calling, then create an MCPAgent and invoke await agent.run() with a query.
Key features of Open Source MCP CLient Library
- Ease of use: create a first MCP agent with only 6 lines of code
- LLM flexibility: works with any LangChain LLM supporting tool calling (OpenAI, Anthropic, Groq, etc.)
- HTTP support: direct connection to MCP servers running on HTTP ports
- Multi-server support: use multiple MCP servers simultaneously in a single agent
- Tool restrictions: restrict potentially dangerous tools like file system or network access
Use cases of Open Source MCP CLient Library
- Web browsing with Playwright to search and scrape the web
- Searching Airbnb for accommodations using an MCP server
- Creating 3D models in Blender via the Blender MCP server
- Combining tools from multiple MCP servers (e.g., browsing + file operations)
- Connecting to web-based MCP servers over HTTP for remote tool access
FAQ from Open Source MCP CLient Library
What LLMs are supported?
Any LangChain-supported LLM that has tool calling capabilities, such as OpenAI, Anthropic, Groq, and Llama models.
How do I install the library?
Run pip install mcp-use and install the appropriate LangChain provider package (e.g., langchain-openai) for your chosen LLM.
How do I connect to MCP servers?
You can connect via stdio by specifying a command and arguments in the config, or via HTTP by providing a URL (e.g., http://localhost:8931/sse).
Can I restrict which tools the agent can use?
Yes, pass disallowed_tools to MCPAgent to block categories like file_system or network.
Can I use multiple MCP servers at the same time?
Yes, define multiple servers under mcpServers in your configuration and pass it to MCPClient.from_dict() or from_config_file().
Frequently asked questions
What LLMs are supported?
Any LangChain-supported LLM that has tool calling capabilities, such as OpenAI, Anthropic, Groq, and Llama models.
How do I install the library?
Run `pip install mcp-use` and install the appropriate LangChain provider package (e.g., `langchain-openai`) for your chosen LLM.
How do I connect to MCP servers?
You can connect via stdio by specifying a command and arguments in the config, or via HTTP by providing a URL (e.g., `http://localhost:8931/sse`).
Can I restrict which tools the agent can use?
Yes, pass `disallowed_tools` to `MCPAgent` to block categories like `file_system` or `network`.
Can I use multiple MCP servers at the same time?
Yes, define multiple servers under `mcpServers` in your configuration and pass it to `MCPClient.from_dict()` or `from_config_file()`.
Basic information
More Developer Tools MCP servers

Meticulous
MeticulousMCP server and skills to connect to the Meticulous UI testing platform.
Vibgrate MCP
VibgrateQuery your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up
CodeSentinel
icohangar-opsCodebase health as MCP tools: dead code, circular dependencies, coupling, architectural drift.
AptiBuild AI β Career Intelligence
ParklandBuildsAptiBuild AI β Career Intelligence MCP Server Structured career decision scaffolding for AI agents. Provides personality-conditioned business idea generation, official BLS OEWS wage data, FRED labor market signals, and
LocalCan
LocalCanGives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.
Comments