Gitea MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gitea as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Gitea. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Gitea?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Gitea MCP Server
Connect your Gitea instance to any AI agent and take full control of your self-hosted Git services, code reviews, and project collaboration through natural conversation.
LlamaIndex agents combine Gitea tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Repository Orchestration — List all accessible repositories and retrieve full details including descriptions, clone URLs, stars, and visibility states natively
- Issue & Task Tracking — Enumerate issues in any repository to track numbers, states, labels, and assignees, and retrieve full body content for detailed analysis flawlessly
- Pull Request Auditing — List all pull requests to monitor open, closed, or merged states and review source/target branch mappings synchronously
- Organization Management — Identify organizations you belong to and retrieve detailed org metadata including website, location, and repository counts securely
- Branch & Protection Oversight — List all branches in a repository and verify commit SHAs and effective branch protection rules natively
- User Profile Discovery — Extract the authenticated profile identity including login, email, full name, and administrative status flawlessy
- Project Navigation — Analyze specific localized variables decoding active data routes and extracting hidden structural constraints within your Gitea environment
The Gitea MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Gitea to LlamaIndex via MCP
Follow these steps to integrate the Gitea MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Gitea
Why Use LlamaIndex with the Gitea MCP Server
LlamaIndex provides unique advantages when paired with Gitea through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gitea tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gitea tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gitea, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gitea tools were called, what data was returned, and how it influenced the final answer
Gitea + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gitea MCP Server delivers measurable value.
Hybrid search: combine Gitea real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gitea to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Gitea for fresh data
Analytical workflows: chain Gitea queries with LlamaIndex's data connectors to build multi-source analytical reports
Gitea MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Gitea to LlamaIndex via MCP:
get_issue
Get full details of a Gitea issue
get_me
Get the authenticated Gitea user profile
get_org
Get full details of a Gitea organization
get_repo
Get full details of a Gitea repository
list_branches
List all branches in a Gitea repository
list_issues
List all issues in a Gitea repository
list_org_repos
List all repositories belonging to a Gitea organization
list_orgs
List all organizations the authenticated Gitea user belongs to
list_pulls
List all pull requests in a Gitea repository
list_repos
Returns repo full names, descriptions, clone URLs, stars, forks, private/public status, and default branches. List all repositories accessible to the authenticated Gitea user
Example Prompts for Gitea in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Gitea immediately.
"List the last 5 repositories I worked on"
"Show me open pull requests for repo 'api-service'"
"List all issues in organization 'Eng-Team'"
Troubleshooting Gitea MCP Server with LlamaIndex
Common issues when connecting Gitea to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGitea + LlamaIndex FAQ
Common questions about integrating Gitea MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Gitea with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gitea to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.