tool-name-normalization-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@tool-name-normalization-mcp-servercall all probe tools and run report_call_log"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
tool-name-normalization-mcp-server
A throwaway HTTP MCP server to answer one question empirically:
Does the MCP host (Cursor specifically) invoke a tool by the exact advertised name, or does it munge the name (lowercase / snake-case) first?
This matters because Glean's MCP server dispatches tool calls by exact,
case-sensitive name lookup. PR
#147939 (May 2025) added
server-side lowercasing specifically because Cursor at the time normalized
Glean Search → glean_search client-side and then invoked the munged name,
breaking lookup. We want to know whether that's still true before dropping
case normalization from the server (so built-in / pyagents CAPITAL_CASE names
and external camelCase gateway names can be preserved verbatim).
Findings (2026-06-25)
Validated: current Cursor invokes MCP tool names verbatim — no lowercasing, no
snake-casing, not even for names with spaces or capitals. All 8 probe tools
(including SCREAMING_SNAKE_TOOL, camelCaseTool, and Glean Search)
round-tripped exactly; report_call_log reported 8 calls, 0 mismatches. The
munging that motivated scio#147939
— Cursor rewriting Glean Search → glean_search before invoking — is fixed.
Full table and caveats in TEST_PLAN.md.
Related MCP server: debug-test-mcp
Add to Cursor (one-click)
The Render deployment must be live first. Clicking a button opens Cursor with the server config pre-filled; confirm to install, then run the prompts in TEST_PLAN.md.
Stateful (recommended for Cursor):
Stateless:
How it works
The server advertises tools spanning every casing style:
Tool name | Style |
| control (already snake_case) |
| camelCase |
| PascalCase |
| CAPITAL_CASE (pyagents action-name analog) |
| kebab-case |
| mixed |
| the real external-gateway example |
| contains a space — the literal #147939 case |
It uses a catch-all tools/call handler, so even a call whose name matches
no advertised tool is captured (not rejected). Every call echoes the exact
received name; report_call_log dumps the full advertised-vs-received history.
If Cursor calls SCREAMING_SNAKE_TOOL verbatim → no munging, case preservation
is safe. If it arrives as screaming_snake_tool (or camelCaseTool arrives as
camelcasetool / camel_case_tool) → Cursor still munges, and we need
tolerant inbound matching on the server.
Local
mise run start:http # stateful, port 3000
node testing/probe.mjs # smoke test against itDeploy (Render)
render.yaml defines two free web services (-stateless and -stateful).
Connect the GitHub repo as a Render Blueprint; stable URLs:
https://tool-name-normalization-mcp-server-8ghm.onrender.com/mcphttps://tool-name-normalization-mcp-server.onrender.com/mcp
Test with Cursor
Add the deployed URL as an MCP server in Cursor settings.
In chat, ask Cursor to call each tool from this server, then call
report_call_log.Compare
receivedvs the advertised names. Server-side logs ([tool-name-probe] …) in the Render dashboard show the same data.
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