MCP server for agents to query internal documentation and return contextual answers.
Give your Ai agent access to a collection of tools via MCP's standardized format.
Search internal documentation using a specific topic.
Fetch a document based on its unique identifier.
Internal Docs MCP leverages the Model Context Protocol to empower AI agents with the ability to query and retrieve internal documentation efficiently. This server provides a standardized solution for accessing company knowledge bases and ensuring that critical internal information is always at hand.
The available tools include search_docs_by_topic, which allows agents to search documentation based on specific topics, and get_doc_by_id, which retrieves detailed documents using unique identifiers. These functions are designed for quick access and precise retrieval of information.
By integrating these tools, agents can supply contextual and accurate responses to internal queries, improving decision-making and operational efficiency within an organization.
Ai builders can use existing MCPs to give their agents access to external tools and resources. They can also build their own MCPs to give their agents - and optionally others - access to internal tools and resources.
A third-party MCP server is provided by an external developer that exposes the functionality of services or tools created by orgas outside of your organization—such as Airtable, Perplexity, Postgres or similar—through the MCP standard.
Using a third-party MCP server within agents that you build means that your agents are immediately empowered with access to these external services—with minimal development and maintainence of custom integrations.
Typically, this means that your company authorizes agents that you build to interact with your organization's accounts on these platforms (for example, your company's Airtable account, or your company's data stored in Postgres databases) rather than your end users' accounts.
Another use for these 3rd-party MCP servers may be that your team members add them to MCP client apps like Anthropic's Claude general AI app or the Cursor coding app.
You want inspiration for ways your team can add capabilities and tools to your go-to-market Ai agents.
You want inspiration for ways to add capabilities and tools to your Ai agents.
You want inspiration for ways your team can add capabilities and tools to the Ai agents that affect the stage of the customer journey you're focused on.
Model Context Protocol (MCP) is an open standard for giving Ai such as LLMs access to external tools and resources. It allows developers to create reusable, interoperable components that can be used across different AI applications and agents.
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