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Contextual MCP Server

RAG-enabled MCP server using Contextual AI.

Connector by NitishGourishetty · GitHub account verified by the MCP Registry

IndexedLicense unknownLocal (stdio)
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/nitishgourishetty-contextual-mcp-server

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes.

Reviews

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
3 read · 0 write · 0 delete · 1 not yet classified
Secrets
1 (API keys, tokens or passwords)
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 4

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

  • query
  • read_hierarchy
  • read_pages

Not yet classified 1 · We could not tell from the name and description.

  • initialize_document_agent

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • API_KEY

Other settings (environment variables or headers).

  • AGENT_ID

Tools (4)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • initialize_document_agent

    Initialize the document agent with a provided job id. Guidance: - When asked for an outline of the document, read the hierarchy and then look up an initial few pages of the document before answering. - Use this to request the user to provide a job id for a document so you can answer questions about it. - When answering questions, provide references to page indexes used in the answer.

  • query

    An enterprise search tool that can answer questions about any sort of knowledge base

  • read_hierarchy

    Read a markdown nested list of the hierarchical structure of the document. This contains headings with their nesting as well as the page index where the section with this heading starts. Guidance: - Use these results to look up the start and end page indexes to read the contents of a specific section for further context.

  • read_pages

    Read the contents of the document between the start and end page indexes, both inclusive. Provide a brief 1-line rationale for what you are trying to read e.g. the name of the section or other context.

Signals

Stars
0
Forks
0
Open issues
0
Weekly downloads
23
Last commit
Sep 18, 2025 (1 year ago)
Last release
Sep 18, 2025 (1 year ago)
Last package publish
Sep 18, 2025 (1 year ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.NitishGourishetty/contextual-mcp-server
Version
0.1.0
Auth
API key
Packages
pypi contextual-mcp-server
License
License unknown
Repository
github.com/NitishGourishetty/contextual-mcp-server
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
Official MCP Registrygithub-graphql
Cite this page

Contextual MCP Server. Agent Mart. https://agentmart.dev/connectors/nitishgourishetty-contextual-mcp-server (last updated 2026-10-24)