Synap

com.linkrra/synapVersion 1.2.0

Open AI models through one OpenAI-compatible API: chat, live model list, prices and cost estimates.

Status

Responds79 msNov 14, 2026, 14:04 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:04 UTC
Latency: 79 ms
Remotes responding: 1 of 1
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Hosting: EU hosting detected (detected, not a legal statement)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://pool.linkrra.com/mcpResponds79 msNov 14, 2026, 14:04 UTC

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Claude Code

claude mcp add --transport http synap https://pool.linkrra.com/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: synap
Remote MCP server URL: https://pool.linkrra.com/mcp

Cursor

{
  "mcpServers": {
    "synap": {
      "url": "https://pool.linkrra.com/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"synap","type":"http","url":"https://pool.linkrra.com/mcp"}'

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Tools

4 tools

Tools of Synap
	Description		Read-only	Idempotent	Open world
`synap_chat_completion`Send a conversation to a model on Synap, Linkrra's OpenAI-compatible inference API, and get the model's reply. Use this when you need text generated, code written or a question answered by one of the open models Synap serves. This is the only tool here that costs money: it bills prompt and completion tokens to the Synap API key supplied as the Authorization: Bearer header on the MCP connection. With no key it returns an error and nothing is spent; a key with no balance returns insufficient_credits. Call synap_estimate_cost first if the price matters. Returns the standard OpenAI chat.completion JSON (choices[0].message.content holds the reply, usage holds token counts). The call is not streamed and keeps no memory between calls — send the full message history each time.	Send a conversation to a model on Synap, Linkrra's OpenAI-compatible inference API, and get the model's reply. Use this when you need text generated, code written or a question answered by one of the open models Synap serves. This is the only tool here that costs money: it bills prompt and completion tokens to the Synap API key supplied as the Authorization: Bearer header on the MCP connection. With no key it returns an error and nothing is spent; a key with no balance returns insufficient_credits. Call synap_estimate_cost first if the price matters. Returns the standard OpenAI chat.completion JSON (choices[0].message.content holds the reply, usage holds token counts). The call is not streamed and keeps no memory between calls — send the full message history each time.	No	No	No	Yes
`synap_estimate_cost`Work out what a chat completion would cost on Synap from token counts, using the live price list. Use this before synap_chat_completion when budget matters, or to compare models for a job. Free, read-only, needs no API key and runs no model. Returns {model, prompt_tokens, completion_tokens, prompt_usd, completion_usd, total_usd, pricing}. It is an estimate: the real charge uses the token counts the model reports afterwards. Auto-routing ids such as "synap-v1" have no fixed price and return an error saying so.	Work out what a chat completion would cost on Synap from token counts, using the live price list. Use this before synap_chat_completion when budget matters, or to compare models for a job. Free, read-only, needs no API key and runs no model. Returns {model, prompt_tokens, completion_tokens, prompt_usd, completion_usd, total_usd, pricing}. It is an estimate: the real charge uses the token counts the model reports afterwards. Auto-routing ids such as "synap-v1" have no fixed price and return an error saying so.	No	Yes	Yes	No
`synap_get_model`Return the complete catalogue record for one Synap model: pricing, context and output limits, supported parameters, quantisation, data-retention policy and readiness. Use this after synap_list_models when you need details the summary leaves out. Free, read-only and needs no API key. Returns the raw model object, or an error naming the id if Synap does not serve it.	Return the complete catalogue record for one Synap model: pricing, context and output limits, supported parameters, quantisation, data-retention policy and readiness. Use this after synap_list_models when you need details the summary leaves out. Free, read-only and needs no API key. Returns the raw model object, or an error naming the id if Synap does not serve it.	No	Yes	Yes	No
`synap_list_models`List the models Synap serves right now, each with its price per million tokens, context window and what it is good at. Use this to choose a model id before calling synap_chat_completion, or to compare prices. Free, read-only, no API key needed, and safe to call repeatedly; the list is live, so models can appear or go between calls. Returns {"object":"list","count":N,"data":[{id,name,capability,tier,context_tokens,max_output_tokens,pricing,data_policy}]}; pricing is USD per million prompt and completion tokens and is absent for the auto-routing ids ("synap-v1"), which bill at the price of the model they route to. For every field of one model use synap_get_model.	List the models Synap serves right now, each with its price per million tokens, context window and what it is good at. Use this to choose a model id before calling synap_chat_completion, or to compare prices. Free, read-only, no API key needed, and safe to call repeatedly; the list is live, so models can appear or go between calls. Returns {"object":"list","count":N,"data":[{id,name,capability,tier,context_tokens,max_output_tokens,pricing,data_policy}]}; pricing is USD per million prompt and completion tokens and is absent for the auto-routing ids ("synap-v1"), which bill at the price of the model they route to. For every field of one model use synap_get_model.	No	Yes	Yes	No

Details

Registry status: Active
Published: Oct 16, 2026
Updated: Oct 16, 2026
Website: https://synap.linkrra.com/⁠ (opens in a new tab)
Repository: https://github.com/jimmyplup/synap-mcp⁠ (opens in a new tab)
Categories (suggested): AI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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