io.github.cryptoeights/hyre-mcp
NPM · HYRE-MCP
17 DeFi + RWA tools — PumpFun, wallet PnL, Meteora LP, Robinhood Chain stocks — paid via x402.
Available components
Last scanned (5 hours ago)
Scores higher than 65% of npm servers
Category Crypto and Web3
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 Security99
- 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
- 30 of 194 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- 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 106 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability65
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 759 tokens (~44/item across 17 items; 17 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management83
- Stability observed for 25 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
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 17 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 17 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
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.
- 5 Nov 26 −2
- Stability: pass → 0.83 functional
- 30 Oct 26 +2
- CVE-2023-54404 no longer affects this package ▲ security
- Known CVEs: fail → pass ▲ security
- Stability: 0.97 → pass security
- 29 Oct 26 0
- Stability: pass → 0.97 functional
- 24 Oct 26 −2
- CVE-2023-54404 affects this package: high ▼ security
- Known CVEs: pass → fail ▼ security
- 23 Oct 26 0
- Stability: 0.97 → pass security
- 22 Oct 26 0
- Stability: pass → 0.97 functional
- 16 Oct 26 0
- Stability: 0.97 → pass security
- 15 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
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 5 Nov 2026 · Analysed npm/hyre-mcp@2.2.0
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 194 packages
| Packages resolved | 194 |
|---|---|
| Stale | 30 |
| 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 →
hyre-ask Ask HYRE ~41
Ask any DeFi question in natural language — AI orchestrates multiple data sources ($0.025)
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | Your DeFi question |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-bonding-curve Bonding Curve Progress ~50
Bonding curve progress for a PumpFun token ($0.001)
| Name | Type | Req | Description |
|---|---|---|---|
| curve_key | string | – | Bonding curve account address |
| mint | string | yes | Token mint address |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-graduating Graduating Tokens ~29
Tokens near bonding curve graduation (>70% progress) with urgency signal ($0.003)
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-new-tokens New PumpFun Launches ~29
Get real-time PumpFun token launches with AI snipe signal ($0.008)
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-pool-recommend LP Pool Recommendation ~65
AI pool recommendation for a token pair — best pool + strategy ($0.008)
| Name | Type | Req | Description |
|---|---|---|---|
| base | string | – | Base token |
| quote | string | – | Quote token |
| risk | string | – | Risk tolerance |
| strategy | string | – | LP strategy |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-pools Meteora DLMM Pools ~57
Meteora DLMM pool list with APR, TVL, volume ($0.001)
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | Max results |
| sort | string | – | Sort by |
| token | string | – | Filter by token mint |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-token-snipers Sniper Detection ~38
Detect wallets that bought in the first few blocks — sniper analysis ($0.004)
| Name | Type | Req | Description |
|---|---|---|---|
| mint | string | yes | Token mint address |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-token-verdict Token Verdict ~45
Full AI verdict on a token — holders, snipers, bonding curve, risk assessment ($0.015)
| Name | Type | Req | Description |
|---|---|---|---|
| mint | string | yes | Solana token mint address |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-tvl DeFi TVL ~48
Total Value Locked across chains with trend narrative ($0.001)
| Name | Type | Req | Description |
|---|---|---|---|
| chain | string | – | Chain filter (solana, ethereum, all) |
| limit | number | – | Max results |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-wallet-intel Wallet Intelligence ~42
Full 30-day wallet intelligence — trading patterns, success rate, archetype ($0.012)
| Name | Type | Req | Description |
|---|---|---|---|
| address | string | yes | Solana wallet address |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-wallet-pnl Wallet PnL ~41
Wallet PnL — realized + unrealized, portfolio value, holdings ($0.005)
| Name | Type | Req | Description |
|---|---|---|---|
| address | string | yes | Solana wallet address |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-whales Whale Holders ~37
Whale holders for a token — top holders with % of supply ($0.003)
| Name | Type | Req | Description |
|---|---|---|---|
| mint | string | yes | Token mint address |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
hyre-yields Yield Pools ~66
Top yield pools multi-chain sorted by APY ($0.002)
| Name | Type | Req | Description |
|---|---|---|---|
| chain | string | – | Chain filter |
| limit | number | – | Max results |
| min_apy | number | – | Minimum APY % |
| stablecoin | boolean | – | Filter stablecoins only |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
rwa_gap_risk Stock Token Gap Risk ~46
After-hours/weekend divergence risk for a tokenized stock, with hedge/hold/close signal.
| Name | Type | Req | Description |
|---|---|---|---|
| symbol | string | yes | US stock ticker, e.g. TSLA |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
rwa_lending_yield USDG Lending Yields ~43
Compare USDG yield venues on Robinhood Chain (Morpho steakUSDG, Spark spUSDG, Robinhood Earn reference) with lend/hold signal.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
rwa_stock_tokens Robinhood Chain Stock Tokens ~28
List tokenized US stocks on Robinhood Chain with on-chain price, liquidity and holder data.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
rwa_token_premium Stock Token Premium/Discount ~54
Premium/discount of a Robinhood Chain stock token vs its underlying equity, with buy_token/buy_underlying/wait/avoid signal.
| Name | Type | Req | Description |
|---|---|---|---|
| symbol | string | yes | US stock ticker, e.g. TSLA |
| Name | Type | Req | Description |
|---|---|---|---|
| confidence | number|null | – | Signal confidence, 0-1 |
| data | – | – | Raw endpoint data payload |
| insight | string|null | – | LLM interpretation of the data (null when the model cascade fails) |
| latency_ms | number | – | – |
| model_used | string|null | – | LLM that produced the insight |
| signal | string|null | – | Actionable signal; vocabulary varies per segment (e.g. snipe/watch/avoid) |
| sources | array | – | Upstream data sources |
| timestamp | string | – | – |
No examples provided.
How do I install the io.github.cryptoeights/hyre-mcp server?
io.github.cryptoeights/hyre-mcp runs locally as an npm package, launched with npx -y hyre-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 · hyre-mcp
claude mcp add cryptoeights-hyre-mcp -- npx -y hyre-mcp
What is the io.github.cryptoeights/hyre-mcp server?
io.github.cryptoeights/hyre-mcp is listed in the public MCP registry as io.github.cryptoeights/hyre-mcp. 17 DeFi + RWA tools, PumpFun, wallet PnL, Meteora LP, Robinhood Chain stocks, paid via x402. This page covers its npm package (hyre-mcp).
Is the io.github.cryptoeights/hyre-mcp server safe to use?
io.github.cryptoeights/hyre-mcp scores 80 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 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.cryptoeights/hyre-mcp server expose?
io.github.cryptoeights/hyre-mcp exposes 17 tools: hyre-new-tokens, hyre-token-verdict, hyre-graduating, hyre-bonding-curve, hyre-token-snipers, and 12 more. Their descriptions and schemas cost roughly 759 tokens of context every time the server is loaded.
Is the io.github.cryptoeights/hyre-mcp server still maintained?
io.github.cryptoeights/hyre-mcp is still listed as active in the MCP registry. We last reached this channel on 5 November 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.cryptoeights/hyre-mcp server under?
io.github.cryptoeights/hyre-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.