About everstake
everstake is an MCP server that gives AI agents access to Everstake company information and staking data. It combines reference tools with live chain and uptime data, staking estimates, and an integration inquiry tool.
Key features
- 01Retrieve company, product and solution information
- 02Look up developer docs and contact channels
- 03Review security and custody integration details
- 04Check live chain status, APY and fees
- 05View uptime metrics and estimate staking rewards
- 06Submit an integration or staking inquiry
Use cases
- 01Review Everstake offerings for an organization
- 02Check supported chains and current metrics
- 03Estimate staking rewards for a network and amount
- 04Send a staking or integration inquiry
MCP support
The MCP server exposes static company and product information, live dashboard metrics and staking calculations to AI agents. It supports Streamable HTTP and stdio transports.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.everstake.comclaude mcp add --transport http com-everstake https://mcp.everstake.com{"mcpServers":{"com-everstake":{"type":"http","url":"https://mcp.everstake.com"}}}Open in Cursor{"servers":{"com-everstake":{"type":"http","url":"https://mcp.everstake.com"}}}Open in VS Code{"mcpServers":{"com-everstake":{"type":"http","url":"https://mcp.everstake.com"}}}{"mcpServers":{"com-everstake":{"serverUrl":"https://mcp.everstake.com"}}}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.
Tools
11This tool takes no parameters.
Details
From the project READMEEverstake MCP Server
MCP server exposing Everstake staking data and company information to AI agents. Built in Go using modelcontextprotocol/go-sdk.
Transports: Streamable HTTP (MCP 2025-03-26 spec, single / endpoint) or stdio. Selected via MCP_TRANSPORT.
Available Tools
| Tool | Type | Description |
|---|---|---|
get_company_profile | static | Company overview, metrics, certifications |
get_products | static | Product details: Institutional Staking, VaaS, Yield, SWQOS, ShredStream |
get_solutions | static | Solutions by audience: custodians, exchanges, asset managers, banks, fintech |
get_developer_docs | static | SDK links, integration guides, API references |
get_contact_information | static | Contact channels and routing guide |
get_security_profile | static | Certifications: SOC 2 Type II, ISO 27001, NIST CSF, ITGC, GDPR, CCPA |
get_integrations | static | Custody integrations: Fireblocks, BitGo, Anchorage, Coinbase, etc. |
get_uptime_metrics | live | Uptime metrics from dashboard API (30 min cache) |
get_chains | live | Supported chains with APY, fees, status (30 min cache) |
staking_calculator | live | Estimated staking rewards by network and amount |
request_integration | write | Submit integration/staking inquiry to Everstake sales |
Running the Server
Prerequisites
- Go 1.26.1+
- Environment variable
DASHBOARD_URLset (required)
Local
export DASHBOARD_URL=https://your-dashboard-api-host
go run ./cmd/mcp_server
The server starts on port 8080 by default. Override with PORT=<port>.
Stdio mode
export DASHBOARD_URL=https://your-dashboard-api-host
export MCP_TRANSPORT=stdio
go run ./cmd/mcp_server
In stdio mode, the HTTP server, /health endpoint, and rate limiting are disabled. Logs go to stderr; stdout carries the MCP JSON-RPC protocol.
Docker
HTTP mode:
docker build -t everstake-mcp .
docker run -e DASHBOARD_URL=https://your-dashboard-api-host -p 8080:8080 everstake-mcp
Stdio mode (interactive, no port mapping):
docker run --rm -i \
-e DASHBOARD_URL=https://your-dashboard-api-host \
-e MCP_TRANSPORT=stdio \
everstake-mcp
Use -i to keep stdin attached for the JSON-RPC protocol; do not pass -t (a TTY breaks line-based JSON framing). For MCP clients that launch the server as a subprocess, point command at docker with args matching the above, or wrap in a helper script (see .vscode/stdio_docker.sh for an example using --env-file).
Environment Variables
| Variable | Default | Required |
|---|---|---|
DASHBOARD_URL | — | yes |
MCP_TRANSPORT | http | no (http or stdio) |
PORT | 8080 | no (http mode only) |
GIN_MODE | — | no (release set in Dockerfile) |
Health Check
GET /health
Debugging with MCP Inspector
MCP Inspector is the official tool for poking at MCP servers — list tools, call them, see raw JSON-RPC.
Stdio note: stdio servers are owned by the parent process; you cannot connect Inspector to an already-running stdio container. Inspector must launch the subprocess itself. For an interactive session you can reconnect to, use HTTP mode (option below).
HTTP mode (recommended for general debugging)
Start the container:
docker run --rm -p 8080:8080 \
-e DASHBOARD_URL=https://your-dashboard-api-host \
-e DASHBOARD_API_KEY=<key> \
everstake-mcp
Open Inspector:
npx @modelcontextprotocol/inspector
In the UI:
- Transport Type:
Streamable HTTP - URL:
http://localhost:8080/
Container stays running across Inspector sessions.
Stdio mode (verify stdio transport)
Let Inspector launch the container so it owns stdin/stdout:
npx @modelcontextprotocol/inspector \
docker run --rm -i \
--env-file .env \
everstake-mcp
Or fill the UI manually:
- Transport Type:
STDIO - Command:
docker - Arguments:
run --rm -i --env-file .env everstake-mcp
Each Inspector session forks a fresh container; quitting Inspector kills it.
Linting
The project uses golangci-lint with a strict configuration in .golangci.yml.
Install golangci-lint:
go install github.com/golangci/golangci-lint/cmd/golangci-lint@latest
Run:
make lint
Key rules enforced: staticcheck (all checks), gosec, gocritic (diagnostic/style/performance tags), revive (40+ rules including early-return, error-strings, var-naming), errchkjson, bodyclose, contextcheck, and more. nolintlint requires specific lint directives — bare //nolint is not allowed.
Editing Tool Responses
Static tools
Edit tools.yaml. Each map key is the tool name; the static_response field is returned verbatim to the AI agent.
tools:
get_company_profile:
description: |
...
static_response: |
COMPANY: Everstake
...
To add a new static tool:
- Add an entry under
tools:intools.yamlwithstatic_response. - Add a corresponding field to
ToolsConfigininternal/config/mcp_config.gowith a matchingyamlstruct tag — the name is injected automatically via reflection. - Register it in
internal/server/mcp/server.gousingstaticTextTool().
Content rules
Cross-cutting rules that apply to all tool responses are in .vscode/tools_src/RULES.md. These cover:
- Certification differentiator language
- Non-custodial positioning
- Vault product disclaimers
- APY disclaimer wording
- Lead source tagging for
request_integration
Dynamic tools
get_uptime_metrics and get_chains fetch live data from the dashboard API with a 30-minute in-memory cache. Their handlers are in internal/server/mcp/dashboard.go. The underlying API client lives in pkg/everstake/dashboard/.
Comments
New to MCP?
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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.