Tctc MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 193 installs a week from npm. Last commit 14 Sep 2026.
ERC-7303 token-controlled roles for AI agents: grant, check, and revoke permissions on-chain
We read the source, 22 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const child = spawn(config.server.command, config.server.args, {
"0x608060405234801561000f575f5ffd5b506040516118e03803806118e083398101604081905261002e91610107565b60408051602081019091525f8152339061004781610092565b506001600160a01b03811661007557604051631e4fbdf760e01b81525f600482015260240160405180910390fd5b61007e816100a2565b50600461008b828261023…
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add tctc-mcp -- npx -y tctc-mcp
{
"mcpServers": {
"tctc-mcp": {
"args": [
"-y",
"tctc-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.tctc-mcp]
command = "npx"
args = ["-y", "tctc-mcp"]
{
"mcpServers": {
"tctc-mcp": {
"args": [
"-y",
"tctc-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"tctc-mcp": {
"args": [
"-y",
"tctc-mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
TCTC_ADMIN_PRIVATE_KEY (Issuer key enabling grant_role/revoke_role (admin mode). Omit for read-only mode: state-changing tools are then not even registered).
The author declared them in the registry entry; get the values from the project itself.
Identity and auth for AI agents: credentials, tokens, delegations, and permission checks.
Persistent, policy-controlled missions for AI agents operating local and SSH environments.
Durable, user-controlled goals and governed plans for AI agents.
Save and organize web finds in persistent, user-controlled collections for AI assistants.
Wrap any MCP server with enforced, bounded, revocable permissions — grant, narrow, check, revoke.
Agent reasoning, memory, and token-optimized context for AI applications.
Reduces AI agent token usage by 90% via context compression and task checkpoint persistence.
Token and context budget for AI agents. Tracks spend and gates the session.
Answers built from our own checks of this server.