Get Passage (Research)

researchmcp-research_get_chunk

Fetch a single text chunk by its stable id.

Use after research_chunk_search when you have a chunk_id and want the chunk back without re-running a search. Cheap direct id lookup.

chunk_id is an opaque id assigned when the chunk is indexed. It round-trips reliably within a session (search -> get). It is NOT durable across re-ingestion: the hourly cron deletes a report's docs and re-inserts them with new ids when the report is modified, so a chunk_id obtained before reprocessing will miss afterward. Fetch within the same session.

Parameters

Name	Type	Required	Constraints	Description
chunk_id	string	yes	—	The chunk_id returned by a previous research_chunk_search call.

Returns

• On hit: {"chunk": {report_id, title, date, score, text, chunk_id}}.
• On miss: {"chunk": None}. Not an error.
• On retrieval failure: {"error": str}.
• The score field is 0.0 for direct id lookups (no relevance ranking applies).

Try it

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Code examples

curl

curl -s https://mcp.edited.com/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "MCP-Protocol-Version: 2025-06-18" \
  -H "x-api-key: $MCP_API_KEY" \
  -d '{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "researchmcp-research_get_chunk",
    "arguments": {
      "chunk_id": "example"
    }
  }
}'

TypeScript

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "demo", version: "1.0.0" }, { capabilities: {} });
await client.connect(
  new StreamableHTTPClientTransport(new URL("https://mcp.edited.com/mcp"), {
    requestInit: { headers: { "x-api-key": process.env.MCP_API_KEY ?? "" } },
  }),
);

const result = await client.callTool({
  name: "researchmcp-research_get_chunk",
  arguments: {
    "chunk_id": "example"
  },
});

Python

import os
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

headers = {"x-api-key": os.environ["MCP_API_KEY"]}
async with streamablehttp_client("https://mcp.edited.com/mcp", headers=headers) as (read, write, _):
    async with ClientSession(read, write) as session:
        await session.initialize()
        result = await session.call_tool(
            "researchmcp-research_get_chunk",
            {"chunk_id": "example"},
        )

Input schema

{
  "type": "object",
  "properties": {
    "chunk_id": {
      "description": "The chunk_id returned by a previous research_chunk_search call.",
      "minLength": 1,
      "type": "string"
    }
  },
  "required": [
    "chunk_id"
  ]
}