Jentic SDKs
MCP server endpoint for agent integration
What is Jentic SDKs?
Jentic SDKs is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server endpoint for agent integration
MCP server endpoint for agent integration
This server falls under the APIs and Developer Tools categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server endpoint for agent integration
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx jentic-sdksConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Jentic SDKs
Jentic SDKs provide an MCP server endpoint and Python SDK that give AI agents a unified interface to discover, inspect, and execute thousands of real-world API workflows without hardcoding endpoint details. Agents can search for a capability by description (e.g., 'send a Discord message'), load the full schema and authentication requirements, and then execute the operation with structured inputs — all dynamically at runtime. This eliminates the need to manually integrate each API and is especially useful for building general-purpose agents that need to interact with diverse external services.
Prerequisites
- Python 3.10 or later with pip or uv installed
- A Jentic account and agent API key (register at https://app.jentic.com/sign-in)
- The JENTIC_AGENT_API_KEY environment variable set to your API key
- An MCP client such as Claude Desktop or Claude Code
Create a Jentic account and get your API key
Visit https://app.jentic.com/sign-in to create an account and generate an agent API key. This key is required for all Jentic SDK and MCP server operations.
Install the Jentic Python SDK
Install the jentic package from PyPI using pip. This installs both the SDK for programmatic use and the MCP server entry point.
pip install jenticSet your API key environment variable
Export JENTIC_AGENT_API_KEY in your shell environment. This is the sole authentication requirement for the Jentic MCP server.
export JENTIC_AGENT_API_KEY="your-agent-api-key"Launch the MCP server
Run the Jentic MCP server using uvx with the git+https install reference. This starts the MCP endpoint that your AI client will connect to.
uvx --from git+https://github.com/jentic/jentic-sdks.git@main#subdirectory=mcp mcpConfigure your MCP client
Add the Jentic MCP server to your client configuration. Pass the API key through the env block so the server can authenticate with the Jentic platform.
{
"mcpServers": {
"jentic": {
"command": "uvx",
"args": ["--from", "git+https://github.com/jentic/jentic-sdks.git@main#subdirectory=mcp", "mcp"],
"env": {
"JENTIC_AGENT_API_KEY": "your-agent-api-key"
}
}
}
}Understand the search-load-execute workflow
Jentic exposes three primary operations: search (find capabilities by natural language query), load (retrieve full schema and authentication details for specific capability IDs), and execute (run an operation with the specified inputs). Agents follow this pattern to dynamically discover and invoke any supported API.
Jentic SDKs Examples
Client configuration
Claude Desktop configuration for the Jentic MCP server with API key authentication.
{
"mcpServers": {
"jentic": {
"command": "uvx",
"args": ["--from", "git+https://github.com/jentic/jentic-sdks.git@main#subdirectory=mcp", "mcp"],
"env": {
"JENTIC_AGENT_API_KEY": "your-agent-api-key"
}
}
}
}Prompts to try
Use these prompts with Claude once the Jentic MCP server is connected to dynamically discover and execute API workflows.
- "Search for capabilities that can send a Slack message and then send 'Hello team!' to the #general channel"
- "Find a tool that can create a GitHub issue and use it to create an issue titled 'Bug: login fails' in my repo"
- "Search for Discord DM capabilities and send a message to user ID 123456"
- "What APIs are available for sending emails? Load the schema for the best one and show me the required inputs"
- "Find and execute a capability to post a tweet with the text 'Hello from Jentic!'"Troubleshooting Jentic SDKs
Authentication error or API key not recognized
Verify that JENTIC_AGENT_API_KEY is set to the correct key from your Jentic account at https://app.jentic.com. The key must be for an active agent — regenerate it from the dashboard if it appears invalid.
uvx fails to install or find the MCP package
Ensure uv is installed (pip install uv or curl -LsSf https://astral.sh/uv/install.sh | sh). The git+https install URL requires git to be on PATH. Run the uvx command manually in a terminal to see the full error output before adding it to your MCP client config.
Search returns no results for a capability
Try broader or alternative phrasing in your search query. The Jentic catalog is API-centric so use terms like 'send message', 'create issue', or 'post tweet' rather than product-specific names. If a specific API is missing, check the Jentic platform for supported integrations.
Frequently Asked Questions about Jentic SDKs
What is Jentic SDKs?
Jentic SDKs is a Model Context Protocol (MCP) server that mcp server endpoint for agent integration It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Jentic SDKs?
Follow the installation instructions on the Jentic SDKs GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Jentic SDKs?
Jentic SDKs works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Jentic SDKs free to use?
Yes, Jentic SDKs is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Browse More APIs MCP Servers
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Set Up Jentic SDKs in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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