About Synap
Synap is an MCP server that gives AI agents access to open models through an OpenAI-compatible API. It provides model discovery, pricing and cost estimates, plus chat completion through hosted HTTP or a stdio bridge.
Key features
- 01List available models
- 02View model prices and limits
- 03Estimate job costs
- 04Run chat completions
- 05Hosted HTTP and stdio access
Use cases
- 01Compare models before choosing one
- 02Estimate a task’s cost before running it
- 03Run model chat completions from an agent
MCP support
Exposes tools to list and inspect models, estimate costs, and run chat completions. It is available as a hosted Streamable HTTP server and through a stdio bridge that forwards requests to the hosted endpoint.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://pool.linkrra.com/mcpclaude mcp add --transport http com-linkrra-synap https://pool.linkrra.com/mcp{"mcpServers":{"com-linkrra-synap":{"type":"http","url":"https://pool.linkrra.com/mcp"}}}Open in Cursor{"servers":{"com-linkrra-synap":{"type":"http","url":"https://pool.linkrra.com/mcp"}}}Open in VS Code{"mcpServers":{"com-linkrra-synap":{"type":"http","url":"https://pool.linkrra.com/mcp"}}}{"mcpServers":{"com-linkrra-synap":{"serverUrl":"https://pool.linkrra.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://pool.linkrra.com/mcpAuth requiredTools
4| Parameter | Type | Required | Description |
|---|---|---|---|
| model | string | Yes | Model id exactly as returned by synap_list_models, e.g. "qwen3-coder-30b". Use "synap-v1" to let Synap pick the cheapest model that can handle the request. |
| messages | array | Yes | The conversation so far, oldest first. The last message is normally the user turn to answer. |
| max_tokens | integer | No | Upper limit on tokens generated in the reply. Omit to use the model default; lower it to cap cost. |
| temperature | number | No | Sampling randomness, 0 to 2. Lower is more deterministic. Omit to use the model default. |
Details
From the project READMESynap MCP server
Synap by Linkrra as a Model Context Protocol server: open models behind one OpenAI-compatible API. Your agent can list the models we serve, read their prices and limits, estimate the cost of a job before running it, and run a chat completion.
There is one server, hosted at https://pool.linkrra.com/mcp (Streamable HTTP). It is the
server behind com.linkrra/synap in the official MCP registry.
This repository has two parts:
routes.jsis the deployed router itself, byte for byte.bin/synap-mcp.jsis the stdio transport (npx synap-mcp) for MCP hosts that launch a local command. It sends every message to the hosted server unchanged, so it always exposes the same tools as the hosted server.
Tools
| Tool | Cost | Key needed |
|---|---|---|
synap_list_models | free | no |
synap_get_model | free | no |
synap_estimate_cost | free | no |
synap_chat_completion | billed per prompt and completion token | yes |
Model ids are the ones synap_list_models returns. Pass synap-v1 and Synap picks the cheapest
model that can do the job.
Connect
Hosted (Streamable HTTP), no install needed
{
"mcpServers": {
"synap": {
"type": "http",
"url": "https://pool.linkrra.com/mcp",
"headers": { "Authorization": "Bearer YOUR_SYNAP_API_KEY" }
}
}
}
Local stdio (Claude Desktop, Cursor, Cline, Windsurf, Zed)
{
"mcpServers": {
"synap": {
"command": "npx",
"args": ["-y", "synap-mcp"],
"env": { "SYNAP_API_KEY": "YOUR_SYNAP_API_KEY" }
}
}
}
Without a key, the three free tools still work. synap_chat_completion returns an error and
nothing is charged.
| Variable | Meaning |
|---|---|
SYNAP_API_KEY | Your Synap key, sent as Authorization: Bearer. Get one at https://synap.linkrra.com. |
SYNAP_MCP_URL | Optional. Overrides the endpoint (default https://pool.linkrra.com/mcp). |
Use it from goose
A ready-made goose custom-provider file lives in goose/.
Download goose/linkrra.json into ~/.config/goose/custom_providers/, set LINKRRA_API_KEY, and pick
Linkrra (Synap) as the provider. Full setup steps and the model table: goose/README.md.
Paying
- API key (MCP and REST). Top up a Synap account by card or crypto. Each call is billed per token against that balance. MCP always uses this method.
- x402, no account. An agent with a USDC wallet on Base can pay per call over plain HTTP at
POST https://pool.linkrra.com/api/billing/x402/chat/completions. An unpaid request returns402with the payment terms. This route is part of the REST API, not an MCP tool. Its settlement is independently verified on PayAPI Market.
Protocol
The hosted server speaks both MCP eras:
- 2026-07-28 (current): stateless. It implements
server/discoverand reads the per-request_metaprotocol version. It checks thatMCP-Protocol-Version,Mcp-MethodandMcp-Namematch the request body. Results carryresultType, and list results also carryttlMsandcacheScope. - 2025-11-25, 2025-06-18, 2025-03-26, 2024-11-05: the
initializehandshake.
The bridge works with both. For a legacy client, it remembers the version agreed during
initialize. For a 2026-07-28 client, it copies the _meta version into the HTTP headers
that the Streamable HTTP transport requires.
The API behind it
https://pool.linkrra.com/v1 is an OpenAI-compatible API. On every self-hosted model it
supports tool calling (tools, tool_choice) and structured outputs (response_format
json_object / json_schema). Requests can be streamed or not. Prompts and completions are
not stored.
Auth
The server passes your key through and nothing else. The key travels in the standard
Authorization: Bearer header, the same way it would on a direct call to
/v1/chat/completions. routes.js forwards that header untouched. The server never reads,
stores or creates a key.
Run the server standalone
npm install && npm start # serves :8080/mcp
Develop
npm test # offline: a local mock checks the bridge's headers for both protocol eras
The stdio bridge needs Node 18 or later and has no dependencies.
License
Apache-2.0
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.