Text Summarization

Agent capabilityText Processing10 credits/callMCP
MCP tooltextsummarizer

Give enterprise agents text summarization through the same real-data layer, condensing articles and reports to a set length on demand.

Normalize before reasoning

Have an agent run text through Text Summarization to translate, clean, or analyze it in a verifiable step, so downstream reasoning starts from consistent input.

A capability, on the same rails

Expose text summarization to your agents as a tool over the same MCP endpoint and key as every grounding source — no separate integration.

Traceable transforms

Because the transform runs through textsummarizer, the agent's output can point back to the exact operation that produced it.

Point your agent framework at the VerveContext endpoint. Every enabled source — this one included — becomes a tool the model can call. No per-source plumbing.

context.json
{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp",
      "headers": { "x-api-key": "vc_live_••••" }
    }
  }
}
# “textsummarizer” is now a tool your agent can call

Each call returns structured fields your agent can read.

  • originalWords
  • summaryWords
  • percentDifference
  • summary

Text Summarization, answered

How to ground an agent in it over MCP.

How do I give my agent Text Summarization?
Enable it on VerveContext and point your agent framework at the VerveContext MCP endpoint. Text Summarization then appears to the model as a tool named textsummarizer, which it calls when a task needs it — no per-source plumbing.
Which agents and frameworks can use it?
Any MCP client — Claude, Cursor, LangChain, and custom agents all speak the Model Context Protocol. Text Summarization is exposed as a standard tool, so nothing source-specific is required.
Can the agent cite Text Summarization?
Text Summarization is a capability rather than a factual source, so it isn't something to "cite" — but it runs on the same real-data layer, over the same MCP endpoint and key as every grounding source.
How many credits does a Text Summarization call cost?
Each call costs 10 credits. Scoped keys let you grant an agent only the sources it should reach, and usage logs show exactly what was pulled to ground each answer.
How current is the data?
Text Summarization is served live from APIVerve's production data engine and pulled at the moment the agent calls it, so answers reflect the world now rather than the model's training cutoff.
Where does the data come from, and what shows on my bill?
VerveContext runs on APIVerve, our production data engine; Text Summarization is one of 300+ sources on the same key. Invoices and card statements show APIVERVE.

Ground your agents in Text Summarization. Connect over MCP, enable the source, and every answer carries its receipts.

Scaling up?

Volume pricing, custom SLAs, and dedicated support for high-traffic teams.

Contact sales