Search / io.github.loopg/pramana-mcp
pramana-mcp
L0· runs locallyRead your recorded AI agent runs, and what changed when you swapped a model or prompt.
v0.1.3 · active · repository · website · descriptor JSON · versions
Search / io.github.loopg/pramana-mcp
L0· runs locallyRead your recorded AI agent runs, and what changed when you swapped a model or prompt.
v0.1.3 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"pramana-mcp": {
"command": "uvx",
"args": [
"pramana-mcp==0.1.3"
],
"env": {
"PRAMANA_API_KEY": "${PRAMANA_API_KEY}"
}
}
}
}claude mcp add pramana-mcp -e "PRAMANA_API_KEY=${PRAMANA_API_KEY}" -- uvx pramana-mcp==0.1.3[mcp_servers.pramana-mcp]
command = "uvx"
args = ["pramana-mcp==0.1.3"]
env = { "PRAMANA_API_KEY" = "${PRAMANA_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"pramana-mcp": {
"type": "local",
"command": [
"uvx",
"pramana-mcp==0.1.3"
],
"enabled": true,
"environment": {
"PRAMANA_API_KEY": "{env:PRAMANA_API_KEY}"
}
}
}
}{
"mcpServers": {
"pramana-mcp": {
"command": "uvx",
"args": [
"pramana-mcp==0.1.3"
],
"env": {
"PRAMANA_API_KEY": "${PRAMANA_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=pramana-mcp&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJwcmFtYW5hLW1jcD09MC4xLjMiXSwiZW52Ijp7IlBSQU1BTkFfQVBJX0tFWSI6IiR7UFJBTUFOQV9BUElfS0VZfSJ9fQ%3D%3D"
}{
"servers": {
"pramana-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"pramana-mcp==0.1.3"
],
"env": {
"PRAMANA_API_KEY": "${PRAMANA_API_KEY}"
}
}
}
}{
"mcpServers": {
"pramana-mcp": {
"command": "uvx",
"args": [
"pramana-mcp==0.1.3"
],
"env": {
"PRAMANA_API_KEY": "${PRAMANA_API_KEY}"
}
}
}
}extensions:
"pramana-mcp":
enabled: true
name: "pramana-mcp"
type: stdio
cmd: "uvx"
args:
- "pramana-mcp==0.1.3"
envs:
"PRAMANA_API_KEY": "${PRAMANA_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${PRAMANA_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknownNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +website ~liveness-unmeasured +updated-21d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPIthis version is not known to the dependency resolver
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
pramana-mcp | pypi | 0.1.3 | – | PRAMANA_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.loopg/pramana-mcp",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.3",
"packages": [
{
"version": "0.1.3",
"transport": {
"type": "stdio"
},
"identifier": "pramana-mcp",
"registryType": "pypi",
"environmentVariables": [
{
"name": "PRAMANA_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "A Pramana engineer or admin API key, from Settings -> API keys at https://www.reliai.in/. An auditor key never receives recorded prompts or responses, so reads would come back empty."
},
{
"name": "PRAMANA_API_URL",
"format": "string",
"description": "Base URL of the Pramana API. Only set this if you are self-hosting; it defaults to the hosted API."
}
]
}
],
"repository": {
"url": "https://github.com/reliai-in/pramana-mcp",
"source": "github"
},
"websiteUrl": "https://www.reliai.in",
"description": "Read your recorded AI agent runs, and what changed when you swapped a model or prompt."
}