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Jentic

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by jentic
README.md2.72 kB
# Jentic SDK & MCP Plugin [Beta] ![PyPI](https://img.shields.io/pypi/v/jentic?logo=pypi&color=blue) Jentic empowers AI-agent builders to discover and integrate external APIs and workflows rapidly—without writing or maintaining any API-specific code. This mono-repo contains: - **Jentic SDK** – a Python library for searching, loading and executing APIs / workflows, plus helpers for turning those actions into LLM tools. - **Jentic MCP Plugin** – an MCP server that exposes the same capabilities to any MCP-compatible client (Windsurf, Claude Desktop, Cursor, …). See the dedicated READMEs for full details: - [`python/README.md`](./python/README.md) – SDK usage & API reference - [`mcp/README.md`](./mcp/README.md) – MCP server setup & configuration The SDK is backed by the data in the [Jentic Public APIs](https://github.com/jentic/jentic-public-apis) repository. ## Quick start ### 1. Install Python package ```bash pip install jentic ``` ### 2. Obtain your Agent API Key Visit https://app.jentic.com/sign-in to create an agent and copy the key. ```bash export JENTIC_AGENT_API_KEY=<your-agent-api-key> ``` ### 3. Use the SDK ```python import asyncio from jentic import Jentic, SearchRequest, LoadRequest, ExecutionRequest async def main(): client = Jentic() # 1️⃣ find a capability results = await client.search(SearchRequest(query="send a Discord DM")) entity_id = search.results[0].id # op_... or wf_... # 2️⃣ load details (inspect schemas / auth, see inputs for operations) resp = await client.load(LoadRequest(ids=[entity_id])) inputs = resp.tool_info[entity_id].inputs print (inputs) # 3️⃣ run it result = await client.execute( ExecutionRequest(id=entity_id, inputs={"recipient_id": "123", "content": "Hello!"}) ) print(result) asyncio.run(main()) ``` ### 4. Integrate with your LLM agent (optional) If you need fully-formed tool definitions for Anthropic or OpenAI models, use the runtime helpers: ```python from jentic.lib.agent_runtime import AgentToolManager manager = AgentToolManager(format="anthropic") tools = manager.generate_tool_definitions() # pass these to the LLM result = await manager.execute_tool("discord_send_message", {"recipient_id": "123", "content": "Hi"}) print(result) ``` ## Using the MCP plugin To expose the same capabilities via MCP, follow the instructions in [`mcp/README.md`](./mcp/README.md). ```bash uvx --from \ git+https://github.com/jentic/jentic-sdks.git@main#subdirectory=mcp \ mcp ``` Then configure your MCP-compatible client to point at the running server (see the sub-README for sample client configs).

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