Python-based mostly servers During this repository can be utilized specifically with uvx or pip. uvx is suggested for ease of use and set up.
Integration with conversation platforms for message administration and channel operations. Allows AI models to interact with team interaction tools.
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GitHub's MCP server provides tools to listing repositories, develop pull requests, or handle troubles. MCP servers can run regionally with your machine or be hosted remotely, and VS Code supports each configurations.
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Cloud System assistance integration. Enables administration and conversation with cloud infrastructure and services.
Weaviate is undoubtedly an open up-supply vector search engine that enables semantic search abilities across your data.
Even so, running a server on its own is not helpful, and will as a substitute be configured into an MCP shopper. As an example, Here is the Claude Desktop configuration to employ the above mentioned server:
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The Model Context Protocol (MCP) is really an open protocol that allows seamless integration amongst LLM applications and external data resources and tools. This segment incorporates the specific specialized specifications for applying the protocol.
Always conduct a security overview when integrating MCP servers to be certain compliance with rules and standards.
Starting up right now, you are able to obtain data from Jira and Confluence wherever you employ Claude to do all kinds of things like:
These MCP servers allow for your MCP Shopper to read through configurations out of your account, procedure info, make suggestions dependant on details, and in many cases make People recommended modifications for yourself.
To configure an MCP server for all of your workspaces, you could include the server configuration towards your user configurations. This lets you reuse precisely the same server configuration across several projects.