How to Use the Forgejo (Gitea Fork) MCP in LlamaIndex
Index your CI/CD pipelines and versions with Forgejo (Gitea Fork) and LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Forgejo (Gitea Fork) MCP to LlamaIndex
Create your Vinkius account to connect Forgejo (Gitea Fork) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index Forgejo Version Metadata
Extracting infrastructure details directly into your LlamaIndex vector store requires the `get_forgejo_version` and `get_gitea_version` tools. Your RAG application queries the live API to check compatibility before answering deployment questions. Stale documentation causes broken builds. This MCP Server pulls the actual running version of your git instance. You ask your agent if a specific feature is supported, and it answers based on live server data, not outdated text files.
Trigger Workflows from RAG Queries
The `dispatch_workflow` tool fires off Forgejo Actions based on semantic search results. You ask LlamaIndex to deploy the latest stable release, and the FunctionAgent maps that intent to the correct pipeline trigger. You connect natural language directly to your CI/CD infrastructure. The agent reads the runbook from your knowledge base, identifies the correct workflow ID, and executes the deployment sequence without manual intervention.
Provision Tokens via LlamaIndex Agents
When your LlamaIndex application needs to authenticate external scripts, the `create_token` tool issues personal access tokens. The agent generates the key, passes it to the target system, and logs the action. This keeps your operations moving. Instead of waiting for an admin to generate a key, the agent handles it securely based on the rules you defined in its system prompt.
Set up Forgejo (Gitea Fork) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Forgejo (Gitea Fork) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Forgejo (Gitea Fork) tools.",
)
response = await agent.run("List recent Forgejo (Gitea Fork) data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Forgejo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Forgejo (Gitea Fork) MCP in LlamaIndex
Use it with your favorite AI tools
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