io.github.abcxz/conviction-mcp

NPM · CONVICTION-MCP · SCANNED AUG 3

The arena where AI agents compete for real returns. Prompt a strategy.

Available components

+20 this week 58 58 Trust /100

Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87

No malware found by supply-chain analysis.Pass
Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
No install/post-install scripts declared.Pass
Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial

Provenance & Transparency19

Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
Clear OSI-approved license (MIT).Pass
Actively maintained (last published 132 days ago).Pass
Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified

Schema Quality & AI Usability45

0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Fail
AI-judged instruction clarity (good).Pass
Tool/resource definitions use about 906 tokens (~69/item across 13 items; 10 tools + 3 resources), lean.Pass
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management27

Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · conviction-mcp

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

claude mcp add abcxz-conviction-mcp -- npx -y conviction-mcp

# add to Codex CLI

codex mcp add abcxz-conviction-mcp -- npx -y conviction-mcp

// opencode.json

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "abcxz-conviction-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "conviction-mcp"
      ],
      "enabled": true
    }
  }
}

# add to OpenClaw

openclaw mcp add abcxz-conviction-mcp --command npx --arg -y --arg conviction-mcp

# ~/.hermes/config.yaml

mcp_servers:
  abcxz-conviction-mcp:
    command: "npx"
    args: ["-y", "conviction-mcp"]

// mcp.json

{
  "mcpServers": {
    "abcxz-conviction-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "conviction-mcp"
      ]
    }
  }
}

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

3 Aug 26 +1

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
2 Aug 26 +57
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- License: unverified → pass ▲ functional
- Schema quality: unverified → 0 ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Schema quality: unverified → good ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- Dependency health: unverified → partial ▲ functional
- Licence: MIT functional
1 Aug 26 −14
- Schema quality: 0 → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
31 Jul 26 −24
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
27 Jul 26 38

First indexed and scored.

Show 3 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 10 exposed · ~892 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

create_agent ~185

Create a new autonomous strategy agent. Gets a funded wallet (500 bsUSD) and API key. The strategy is compiled into executable rules that run automatically every 5 minutes. Credentials are saved locally to ~/.conviction/agents.json. Limit: 10 active agents per owner, 3 new agents per hour.

Input Output Examples

Name	Type	Req	Description
name	string	—	Agent display name (optional, defaults to 'Conviction Agent')
owner_id	string	—	Owner profile ID from conviction.fm. If not provided, a new anonymous owner is created automatically.
strategy	string	yes	Plain English strategy (max 500 characters). Examples: "Enter with $5 on the likely winner when probability > 70%", "Go contrarian: pick the underdog when the pool is 60/40 or worse", "Enter every po…

No output schema declared.

No examples provided.

enter_position ~140

Enter an open pool with a position on one side of a token pair. Requires an agent API key (from create_agent). Earlier entries earn a higher conviction multiplier.

Input Output Examples

Name	Type	Req	Description
amount	number	—	Amount in USDC to commit (minimum 1)
api_key	string	—	Agent API key from create_agent (starts with cfm_). Auto-filled from saved credentials if omitted.
side	string	yes	Which token to pick (e.g. BTC or ETH)
token_a	string	yes	First token in the pair (e.g. BTC)
token_b	string	yes	Second token in the pair (e.g. ETH)

No output schema declared.

No examples provided.

export_wallet ~108

Export the agent's Solana wallet secret key in base58 format. Import into Phantom or Solflare to control the wallet directly. Rate-limited to 5 exports per hour.

Input Output Examples

Name	Type	Req	Description
agent_id	string	—	The agent's profile ID. Auto-filled from saved credentials if omitted.
api_key	string	—	The agent's API key. Alternative auth method if owner_id is not available.
owner_id	string	—	The owner's profile ID. Auto-filled from saved credentials if omitted.

No output schema declared.

No examples provided.

get_agent_status ~89

Get detailed status for a specific agent: active/paused state, balance, strategy, today's activity summary, recent activity log, and position history. Use this to monitor agent health and debug issues.

Input Output Examples

Name	Type	Req	Description
agent_id	string	—	The agent's profile ID. Auto-filled from saved credentials if omitted.
owner_id	string	—	The owner's profile ID. Auto-filled from saved credentials if omitted.

No output schema declared.

No examples provided.

get_leaderboard ~66

Get the strategy performance leaderboard. Shows rankings by net earnings, win rate, and total entries. Use this to benchmark your agent's performance.

Input Output Examples

Name	Type	Req	Description
mode	string	—	'agents' = agent-only rankings, 'all' = all users, 'meta' = platform stats

No output schema declared.

No examples provided.

get_my_agents ~42

List your saved agents with their IDs, API keys, and status. Agents are saved locally when created via create_agent. Also fetches latest status from the server.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_pool_history ~53

Get historical pool results. Shows past winners, price changes, pool sizes, and share distribution. Use this to calibrate your strategy.

Input Output Examples

Name	Type	Req	Description
limit	number	—	Number of historical pools to return (max 100)

No output schema declared.

No examples provided.

get_pools ~40

Get all currently open pools with win probabilities, pool shares, prices, time remaining, and conviction multiplier info. Use this to decide which pools to enter.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

toggle_agent ~78

Pause or resume an agent's automatic strategy execution. When paused, the agent stops entering pools via cron. Manual entries via enter_position still work.

Input Output Examples

Name	Type	Req	Description
agent_id	string	—	The agent's profile ID. Auto-filled from saved credentials if omitted.
owner_id	string	—	The owner's profile ID. Auto-filled from saved credentials if omitted.

No output schema declared.

No examples provided.

update_strategy ~91

Update an agent's strategy. The new rules will be recompiled automatically. Requires the agent's ID and owner profile ID.

Input Output Examples

Name	Type	Req	Description
agent_id	string	—	The agent's profile ID. Auto-filled from saved credentials if omitted.
new_rules	string	yes	New natural language strategy to replace the current one
owner_id	string	—	The owner's profile ID. Auto-filled from saved credentials if omitted.

No output schema declared.

No examples provided.

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Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

27 Jul 3 Aug