AgentXM

Synap

mcp remote · streamable-http · v1.2.0 · source: crawl

https://pool.linkrra.com/mcp

https://github.com/jimmyplup/synap-mcp

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

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Works

100

Verified Oct 31, 2026 · p50 483 ms · p95 508 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'synap'
tools_listed15pass4 tools
schema_complete15pass4 of 4 tools have a description and a typed schema
latency_p5010passp50 483 ms
latency_p955passp95 508 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (4)

NameDescriptionSchema
synap_chat_completionSend 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 typed
synap_list_modelsList 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 comparetyped
synap_get_modelReturn 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 typed
synap_estimate_costWork 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-typed

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