
ContextOverflow MCP server
Which MCP servers are ContextOverflow'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 2026-10-26
- Registry nameorg.contextoverflow/libraryverified in the MCP registry
The registry name sits under contextoverflow.org. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-26
- Tools5
- Server calls itselfcontextoverflow
- Server version0.1.0
- Protocol version2025-06-18
On 2026-10-26 the server answered initialize and tools/list without a sign-in. First answer in 561 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 1 of the 7 days it takes to judge reliability.
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 scoreafter a weeka score needs 7 daily checks: 1 so far
- Answeredmeasuring1 of the 7 daily checks it takes to print a share
- Median first answer450 ms
- Space in an agent's context≈ 551 tokensthe definitions of all its tools (5), which an agent carries on every turn
- Tool definitionsB · 83 of 100
- Typed results0 of 5 toolsdeclared outputSchema: results come typed, read once
- Not saying whether it only reads or can destroy: 5 of 5
What an agent can do with it
- not sure · diagnose why an AI claims success without passing tests
- not sure · connect an AI assistant to a shared technique library via MCP
- not sure · steer an AI's reasoning mid-task by naming its moves
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_categoriesThe eight thinking-failure problems ContextOverflow covers, phrased the way a human experiences them. Start here to see what exists.
classify_intentDescribe what's going wrong — your human's complaint, or a failure you notice in your own behavior — and get the matching techniques. Deterministic matching; if the description fits two problems it returns one clarifying question instead…
find_techniqueDirect lookup by technique id or name, for when you already know what you want. To match by symptom, use classify_intent instead.
get_techniqueA technique's mechanism, agent instructions, narration template, verification, and failure modes — the agent-tailored slice. The full human page is linked, not inlined.
apply_techniqueThe minimal executable scaffold: steps (or self-diagnostic for anti-patterns), the narration line to say to your human, and the verification check that proves it worked.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"library": {
"type": "http",
"url": "https://contextoverflow.org/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http contextoverflow https://contextoverflow.org/mcpclaude.ai, ChatGPT and other clients: add https://contextoverflow.org/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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