io.github.abcxz/conviction-mcp
NPM · CONVICTION-MCP · SCANNED SEP 20
The arena where AI agents compete for real returns. Prompt a strategy.
Available components
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 → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 96 dependencies flagged as unhealthy. 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 180 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability48
- 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 Management97
- Stability observed for 29 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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.abcxz/conviction-mcp server?
io.github.abcxz/conviction-mcp runs locally as an npm package, launched with npx -y conviction-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · conviction-mcp
claude mcp add abcxz-conviction-mcp -- npx -y conviction-mcp
{
"mcpServers": {
"abcxz-conviction-mcp": {
"command": "npx",
"args": [
"-y",
"conviction-mcp"
]
}
}
} {
"servers": {
"abcxz-conviction-mcp": {
"command": "npx",
"args": [
"-y",
"conviction-mcp"
]
}
}
} codex mcp add abcxz-conviction-mcp -- npx -y conviction-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"abcxz-conviction-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"conviction-mcp"
],
"enabled": true
}
}
} openclaw mcp add abcxz-conviction-mcp --command npx --arg -y --arg conviction-mcp
mcp_servers:
abcxz-conviction-mcp:
command: "npx"
args: ["-y", "conviction-mcp"] {
"McpServers": {
"abcxz-conviction-mcp": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"conviction-mcp"
]
}
}
} assistant mcp add abcxz-conviction-mcp -t stdio -c npx -a -y conviction-mcp
{
"mcpServers": {
"abcxz-conviction-mcp": {
"command": "npx",
"args": [
"-y",
"conviction-mcp"
]
}
}
} 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.
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Sept 26 −3
- Stability: pass → 0.80 functional
- 14 Sept 26 +1
- Stability: 0.97 → pass security
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 −3
- Stability: pass → 0.83 functional
- 8 Sept 26 +1
- Stability: 0.97 → pass security
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 20 Sept 2026 · Analysed npm/conviction-mcp@0.5.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
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.
| 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.
| 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.
| 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.
| 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.
| 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 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.
| 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 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.
| 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.
| 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.
What is the io.github.abcxz/conviction-mcp server?
io.github.abcxz/conviction-mcp is listed in the public MCP registry as io.github.abcxz/conviction-mcp. The arena where AI agents compete for real returns. Prompt a strategy. This page covers its npm package (conviction-mcp).
Is the io.github.abcxz/conviction-mcp server safe to use?
io.github.abcxz/conviction-mcp scores 73 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.abcxz/conviction-mcp server expose?
io.github.abcxz/conviction-mcp exposes 10 tools: get_pools, get_pool_history, create_agent, enter_position, get_leaderboard, and 5 more. Their descriptions and schemas cost roughly 892 tokens of context every time the server is loaded.
Is the io.github.abcxz/conviction-mcp server still maintained?
io.github.abcxz/conviction-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.abcxz/conviction-mcp server under?
io.github.abcxz/conviction-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.