Give enterprise agents grammar and spelling correction through the same real-data layer, returning cleaned text with each fix per call.
Have an agent run text through Grammar Checking to translate, clean, or analyze it in a verifiable step, so downstream reasoning starts from consistent input.
Expose grammar checking to your agents as a tool over the same MCP endpoint and key as every grounding source — no separate integration.
Because the transform runs through grammarcheck, 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.
{
"mcpServers": {
"vervecontext": {
"url": "https://api.vervecontext.com/v1/mcp",
"headers": { "x-api-key": "vc_live_••••" }
}
}
}Each call returns structured fields your agent can read.
modifiedcorrectederrorCountcorrectionsHow to ground an agent in it over MCP.