
Shreddy MCP server
Which MCP servers are Shreddy's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-20
- Registry nameai.shreddy/shreddyverified in the MCP registry
The registry name sits under shreddy.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-20
- Tools4
- Server calls itselfshreddy
- Server version2.0.163
- Protocol version2025-06-18
On 2026-10-20 the server answered initialize and tools/list without a sign-in. First answer in 102 ms.
- Whether its tools do the product's job has not been judged yet.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP score100 of 100answers 100 · definitions 100 · context 100 · connects 100
- Answered100% of days16 of 16 daily checks
- Median first answer96 ms
- Space in an agent's context≈ 1,671 tokensthe definitions of all its tools (4), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results4 of 4 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- cannot · Get automatic clips of each rider's bike runs
- not sure · Compare jump heights and speeds on a leaderboard
- not sure · Review lap times from trail sessions
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
list_venuesList the bike parks (venues) that have public Shreddy clips: name, city, state, how many clips and how many measured rides, the runs and features there, and a link. Filter by `query` (matches name, city or state) or sort nearest first…
get_venueEverything about one bike park in one call: its runs and their features (with clip counts), how many public clips and measured rides it has, its records (the top 3 public rides for jump height, speed, jump length and airtime, biggest…
search_clipsSearch public clips. Newest first by default; sort "biggest" or "smallest" with a `metric` for the biggest jumps, longest jumps, most airtime or fastest runs (ranked results list each rider of a group clip on their own, and leave out…
get_clipOne public clip by id: where and when it was recorded (day and clock time at the venue), the rider if named, every measurement (jump height, speed, lap times, plus jump length and airtime), how it was calibrated, and for a group clip (a…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"shreddy": {
"type": "http",
"url": "https://api.shreddy.ai/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http shreddy https://api.shreddy.ai/mcpclaude.ai, ChatGPT and other clients: add https://api.shreddy.ai/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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