Stringer Agent MCP server
Which MCP servers are Stringer Agent'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 2026-10-24
- Registry nameapp.getstringer/cleanextractverified in the MCP registry
The registry name sits under getstringer.app. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-24
- Tools2
- Server calls itselfstringer-cleanextract
- Server version0.4.0
- Protocol version2025-11-25
On 2026-10-24 the server answered initialize and tools/list without a sign-in. First answer in 125 ms.
- Its tools do convert web pages into compact markdown for LLM context, but not split uneven group trip costs into exact payments.
- Checked on 3 of the 7 days it takes to judge reliability.
Once connected
- For "convert web pages into compact markdown for LLM context", the likely first call is clean_extract.
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: 3 so far
- What an agent can do with it1 of 2 use cases
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer85 ms
- Space in an agent's context≈ 563 tokensthe definitions of all its tools (2), which an agent carries on every turn
- Tool definitionsA · 92 of 100
- Typed results0 of 2 toolsdeclared outputSchema: results come typed, read once
- Not saying whether it only reads or can destroy: 1 of 2
What an agent can do with it
- can do · convert web pages into compact markdown for LLM context
- not sure · get synthesized answers with source citations
- cannot · split uneven group trip costs into exact payments
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 →
clean_extractExtract a full page or selected sections from a public URL or raw HTML as clean Markdown, with navigation, scripts and page chrome removed. Use it instead of a raw fetch when a task needs the text of documentation, an article, an RFC or…
clean_extract_outlineFree outline with section ids, headings, byte sizes, and a fingerprint, without page body text or payment. It never uses the free extraction allowance. Use it first to see what a long page contains and which sections are worth reading. A…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"cleanextract": {
"type": "http",
"url": "https://extract.getstringer.app/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http getstringer https://extract.getstringer.app/mcpclaude.ai, ChatGPT and other clients: add https://extract.getstringer.app/mcp as a custom connector in the settings.
- app.getstringer/synthesizeranswers, 1 toolsverified in the MCP registry
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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