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llama-index-tools-mcp

llama-index tools mcp integration

Worth itPyPI Artificial IntelligenceReleased Aug 202678.9K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — llama_index_tools_mcp-0.5.0-py3-none-any.whl
v0.5.0 · released 2026-08-11 · Python <4.0,>=3.10 · 3 runtime deps: llama-index-core, mcp, pydantic

Yes. If you are building LlamaIndex agents and need to integrate tools from MCP servers, this package eliminates the integration work. It has low install friction, active maintenance, no known vulnerabilities, and a permissive license. Install it when you have an MCP server available and want agents to use its tools.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires an MCP server running and accessible at the specified URL or command.
  • Low install friction with three straightforward runtime dependencies.
  • Active maintenance with a recent release.

License · maintenance · safety

MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal obligations.

last release 2026-08-11 (3 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 78,918 downloads/mo, #14,392 on PyPI

Verify before relying

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

mcp_client = BasicMCPClient("http://127.0.0.1:8000/sse")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = mcp_tool_spec.to_tool_list()
  • Whether BasicMCPClient supports all MCP transport types mentioned (HTTP, SSE, stdio) equally well in practice
  • Performance characteristics when calling tools through multiple MCP servers simultaneously
  • Compatibility guarantees with specific MCP server implementations or versions
Same gist for agents: .md · .json

What it is and what it does

This package bridges LlamaIndex agents and the Model Context Protocol (MCP) ecosystem. It provides a client to connect to MCP servers, extract their exposed tools, and make those tools available to LlamaIndex agents for use in agentic workflows. It also works in reverse: it can wrap a LlamaIndex Workflow as an MCP server so other MCP clients can call it.

The package handles the mechanics of MCP communication—tool listing, resource access, prompt retrieval, and OAuth authentication—so you can focus on integrating external capabilities into your agent. It supports both synchronous and asynchronous operations, multiple transport types (HTTP, Server-Sent Events, stdio), and optional filtering of tools by name.

Use it for

  • Equip a LlamaIndex agent with tools from an external MCP server (e.g., weather, database, file system).
  • Expose a LlamaIndex workflow as an MCP service for other applications or agents to call.
  • Build an agent that queries multiple MCP servers and combines their tools in a single reasoning loop.
  • Implement OAuth-protected access to MCP servers requiring authentication.
  • Convert a complex LlamaIndex workflow into a reusable tool for other systems via MCP.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

If you are building LlamaIndex agents and need to integrate tools from MCP servers, this package eliminates the integration work. It has low install friction, active maintenance, no known vulnerabilities, and a permissive license. Install it when you have an MCP server available and want agents to use its tools.

Install

llama-index-tools-mcp on PyPI

Before you install

Low install friction with three straightforward runtime dependencies. Active maintenance with a recent release.

Requires an MCP server running and accessible at the specified URL or command.

License in practice

MIT license permits unrestricted use, modification, and distribution with minimal obligations.

Quickstart

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

mcp_client = BasicMCPClient("http://127.0.0.1:8000/sse")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = mcp_tool_spec.to_tool_list()

Verify before relying

  • Whether BasicMCPClient supports all MCP transport types mentioned (HTTP, SSE, stdio) equally well in practice
  • Performance characteristics when calling tools through multiple MCP servers simultaneously
  • Compatibility guarantees with specific MCP server implementations or versions

Package facts

LicenseMIT permissive
Python supportSupports the current Python release <4.0,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
llama-index-coremcppydantic
MaintenanceActively maintained 3 days since the last release
First released
Downloads78,918 / month, #14,392 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: llama_index_tools_mcp-0.5.0-py3-none-any.whl

Tags

Capabilities
mcp server integrationllamaindex agent toolsmodel context protocol clientremote tool executionworkflow as mcp server
Topics
agent-toolsmcp-integrationllamaindex
PyPI keywords
mcptools

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See also mcpo · mcp · mcp-use · llama-index-workflows · nvidia-nat-mcp · mcpadapt · llama-index-agent-openai · arcade-mcp · mcp-proxy · arcade-mcp-server

Further reading