
AIblogly MCP server
Which servers in the official MCP registry are AIblogly's own, 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 namecom.aiblogly/modelsverified in the MCP registry
The registry name sits under aiblogly.com. 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 itselfaiblogly
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-20 the server answered initialize and tools/list without a sign-in. First answer in 169 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 2 of the 7 days it takes to judge reliability.
Once connected
- For "compare two models head to head on Elo and input price", the likely first call is compare_models.
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: 2 so far
- Answeredmeasuring2 of the 7 daily checks it takes to print a share
- Median first answer1574 ms
- Space in an agent's context≈ 483 tokensthe definitions of all its tools (4), which an agent carries on every turn
- Tool definitionsB · 83 of 100
- Typed results0 of 4 toolsdeclared outputSchema: results come typed, read once
- Not saying whether it only reads or can destroy: 4 of 4
What an agent can do with it
- not sure · compare AI models by LMArena and Epoch AI benchmark rankings
- can do · compare two models head to head on Elo and input price
- not sure · browse models by provider and category
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 (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). 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 →
search_modelsFind published AI models on aiblogly.com by name, vendor or category. Returns price per 1M tokens, context window, release date, licence, status and current LMArena rank, each with the model page URL to cite.
get_modelAll published facts for one model: vendor price with its conditions, context window, release date, licence, status (retired/deprecated), LMArena rank, vendor source and the date it was checked, plus a one-paragraph summary.
compare_modelsSide-by-side facts for two models (price, context window, release date, licence, LMArena rank) and the aiblogly comparison page URL.
top_modelsThe highest-rated models in a category by current LMArena Elo (ranks older than 14 days are excluded), with links to the aiblogly rankings.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"models": {
"type": "http",
"url": "https://www.aiblogly.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http aiblogly https://www.aiblogly.com/mcpclaude.ai, ChatGPT and other clients: add https://www.aiblogly.com/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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