# FeedOracle Compliance Agent (remote · feedoracle.io)

MiCA compliance evidence, stablecoin risk, macro regime, agent governance. 79 tools.

- Trust score: 60/100 (medium)
- Change this week: +2
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-04

## Components

- remote · `feedoracle.io`: 60/100 (this document), [markdown](https://verifymcp.io/servers/io-feedoracle-compliance/feedoracle.md), [page](https://verifymcp.io/servers/io-feedoracle-compliance/feedoracle)

## Channel facts

- Endpoint: `https://feedoracle.io/mcp/sse`
- Transports: `sse`
- Auth: `none`
- Version: `3.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-04.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation check failed: no authorisation is required to call this server, and it exposes a tool marked destructive (generate_report).
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 40/100
  - Verified sse transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 66/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 4077 tokens (~81/item across 50 items; 50 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 30/100
  - Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http io-feedoracle-compliance https://feedoracle.io/mcp/sse
```

### Codex

```toml
[mcp_servers.io-feedoracle-compliance]
url = "https://feedoracle.io/mcp/sse"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "io-feedoracle-compliance": {
      "type": "remote",
      "url": "https://feedoracle.io/mcp/sse",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add io-feedoracle-compliance --url https://feedoracle.io/mcp/sse --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  io-feedoracle-compliance:
    url: "https://feedoracle.io/mcp/sse"
```

### Other

```json
{
  "mcpServers": {
    "io-feedoracle-compliance": {
      "type": "http",
      "url": "https://feedoracle.io/mcp/sse"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-04 (score 60, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-03 (score 59, +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.

### 2026-07-31 (score 58, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 57, −2)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 58, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 57, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 57)

First indexed and scored.

## MCP tools (50)

### `ping` (~26 tokens)

Server Ping

Quick connectivity test. Returns server version, uptime, and available tool count. No auth required.

### `compliance_preflight` (~83 tokens)

Compliance Pre-Flight Check

Pre-flight regulatory check. Returns PASS/WARN/BLOCK with reason_codes, sources, confidence. Not legal advice.

Input parameters:

- `action` (string): Action type: swap, transfer, custody
- `jurisdiction` (string): Jurisdiction: EU, US, UK
- `token_symbol` (string, required): Token symbol e.g. USDC, RLUSD, USDT

### `mica_status` (~46 tokens)

MiCA Authorization Status

MiCA EU authorization status. Cross-referenced with ESMA/EBA registers.

Input parameters:

- `token_symbol` (string, required): Stablecoin symbol e.g. USDC, EURC, USDT

### `evidence_profile` (~50 tokens)

Evidence Quality Profile

Multi-dimensional evidence profile: governance, custody, reserves, market depth. Grade A-F.

Input parameters:

- `protocol` (string, required): Protocol name or slug e.g. usdc, aave, ondo-usdy

### `custody_risk` (~42 tokens)

Custody & Counterparty Risk

Custody & counterparty risk assessment. SIFI status, concentration risk. DORA Art.28 relevant.

Input parameters:

- `protocol` (string, required): Protocol name or slug

### `market_liquidity` (~37 tokens)

Market Liquidity Depth

DEX liquidity depth & exit channel analysis. MiCA Art.45 relevant.

Input parameters:

- `protocol` (string, required): Protocol name or slug

### `evidence_leaderboard` (~45 tokens)

Evidence Leaderboard

Top protocols ranked by evidence grade A-F across 61 RWA protocols & 105+ stablecoins.

Input parameters:

- `top_n` (integer): Number of top protocols to return

### `rlusd_integrity` (~22 tokens)

RLUSD Integrity Check

RLUSD real-time integrity monitoring & attestation verification.

### `macro_risk` (~21 tokens)

Macro Risk Dashboard

US macro risk composite from 86 FRED economic series.

### `peg_deviation` (~77 tokens)

Peg Deviation Monitor

Real-time peg deviation for any stablecoin. MiCA Art. 35: issuers must maintain peg at all times. Returns deviation %, status (STABLE/WARN/ALERT/CRITICAL), 30-day history summary.

Input parameters:

- `token_symbol` (string, required): Token symbol e.g. EURC, USDT, EURe

### `significant_issuer` (~86 tokens)

Significant Issuer Assessment

MiCA Art. 45 (ART) / Art. 58 (EMT): checks if issuer exceeds €5B reserve threshold. Significant issuers require EBA oversight and 3% own-funds. Returns threshold%, days-to-significant projection, and additional obligations.

Input parameters:

- `token_symbol` (string, required): Token symbol e.g. USDC, USDT, EURC

### `interest_check` (~79 tokens)

Interest Prohibition Check

MiCA Art. 23 (ART) / Art. 52 (EMT): scans for issuer-native yield mechanisms. Issuers are prohibited from paying interest to token holders. Returns risk level NONE/LOW/MEDIUM/HIGH with explanation.

Input parameters:

- `token_symbol` (string, required): Token symbol e.g. USD0++, USDT, EURC

### `document_compliance` (~81 tokens)

Document Compliance Check

MiCA Art. 29/30 (ART): recovery & redemption plans. Art. 55 (EMT): annual independent audit. Returns compliance score 0-100, audit freshness, plan status, and any stale/missing document alerts.

Input parameters:

- `token_symbol` (string, required): Token symbol e.g. EURC, USDT, BUIDL

### `reserve_quality` (~82 tokens)

Reserve Quality Assessment

MiCA Art. 24/25 (ART): reserve management policy. Art. 53 (EMT): 100%% in deposits or highly liquid low-risk assets. Returns Art. 53 eligibility %%, liquidity score, asset mix, and any violations.

Input parameters:

- `token_symbol` (string, required): Token symbol e.g. EURC, EURCV, USDC

### `mica_full_pack` (~116 tokens)

Full MiCA Evidence Pack

[HEAVY|KEY] Complete MiCA compliance evidence for one token (12 MiCA articles). Aggregates: Art. 35 peg + Art. 45/58 significant + Art. 23/52 interest + Art. 29/30/55 documents + Art. 24/25/53 reserves. Returns overall_mica_compliant flag and compliance_flags list. Ideal for due diligence.

Input parameters:

- `token_symbol` (string, required): Token symbol e.g. EURC, USDC, EURe, RLUSD

### `mica_market_overview` (~52 tokens)

MiCA Market Overview

[HEAVY|KEY] Full MiCA market status: peg alerts, significant issuers, interest prohibition violations, stale audits, reserve violations, issuer revenue flags. Best entry point for compliance monitoring dashboards.

### `peg_history` (~73 tokens)

Peg History (30 days)

30-day peg deviation history for a stablecoin. MiCA Art. 35 requires continuous peg maintenance. Returns daily deviation, max/min/avg, stability score 0-100, and depeg event count.

Input parameters:

- `token_symbol` (string, required): Token symbol e.g. USDT, EURC, EURe

### `generate_report` (~68 tokens)

Generate Compliance Report

[HEAVY|KEY] Generate a signed, XRPL-anchored PDF compliance report. Creates a new document. Requires API key for Professional/Enterprise tiers.

Input parameters:

- `report_type` (string): Report type: mica, dora, rwa_risk, macro_risk, csrd

### `ai_provenance` (~161 tokens)

Data Provenance Graph

[GATEWAY|AUDIT] Full cryptographic provenance chain for an asset's evidence data. Traces every data point from external source (FRED series ID, ESMA register, CoinGecko, on-chain) through FeedOracle processing to final bundle. Each node individually SHA256-hashed. Chain hash = merkle-style hash of all nodes. Tamper-proof audit trail for EU AI Act explainability + MiCA evidence requirements. Returns: series_ids, providers, external_sources, per-node hashes, chain_hash.

Input parameters:

- `frameworks` (array): mica, dora, rwa, macro, stablecoin_risk — default: mica+macro
- `symbol` (string, required): Token symbol: EURC, USDC, RLUSD etc.

### `ai_explain` (~116 tokens)

AI Evidence Explanation

[GATEWAY] Explains WHY an asset has a specific compliance grade. Returns dimension-by-dimension breakdown (custody, reserve, control, liquidity, market_depth, asset_registry, reserve_proof), MiCA article compliance flags, key strengths, key weaknesses, and a counterfactual Grade A path with specific actions. EU AI Act explainability-compliant. Use after evidence_bundle or ai_query to understand scores.

Input parameters:

- `symbol` (string, required): Token symbol: EURC, USDC, RLUSD, USDT etc.

### `evidence_bundle` (~147 tokens)

Multi-Framework Evidence Bundle

[GATEWAY|KEY] Single-call multi-framework evidence aggregation. Fetches MiCA, DORA, RWA, Macro and Stablecoin Risk evidence in one signed bundle. Returns FO-EVB-* bundle ID + SHA256 hash + per-framework status. Enterprise due diligence in one call. frameworks: mica, dora, rwa, macro, stablecoin_risk (or 'all'). Replaces 23 individual API calls.

Input parameters:

- `asset` (string, required): Token symbol: USDC, EURC, RLUSD, USDT etc.
- `frameworks` (array): Frameworks to include: mica, dora, rwa, macro, stablecoin_risk — or omit for all

### `audit_log` (~195 tokens)

Log Agent Decision (Audit Trail)

Log a decision your agent made, linking it to evidence from prior tool calls. Creates a tamper-proof, chain-linked audit entry. Pass request_ids from prior tool calls to snapshot the evidence basis. Regulators can verify the chain. Returns trail_id and chain_hash.

Input parameters:

- `action_taken` (string): What action was or will be taken based on this decision
- `decision` (string, required): PASS, BLOCK, WARN, HOLD, BUY, SELL, or custom
- `decision_type` (string): compliance_check, risk_assessment, trade_signal, alert, recommendation, custom
- `evidence_request_ids` (array, required): request_ids (fo-...) from prior tool calls used as evidence basis
- `jurisdiction` (string): EU, US, UK etc.
- `reasoning` (string, required): Why this decision was made — free text explanation
- `target_asset` (string): Asset symbol e.g. USDC, EURC

### `audit_query` (~90 tokens)

Query Audit Trail

Query your agent's audit trail history. Returns chain-linked decision log with evidence snapshots. Filter by asset or decision type. Use audit_verify to check chain integrity.

Input parameters:

- `client_id` (string, required): Agent client_id to query
- `decision_type` (string): Filter by decision type
- `limit` (integer): Max results (default 20)
- `target_asset` (string): Filter by asset symbol

### `audit_verify` (~57 tokens)

Verify Audit Chain Integrity

Cryptographically verify that an agent's audit trail has not been tampered with. Checks chain hash linkage from genesis to head. Returns valid/invalid with break point if tampered.

Input parameters:

- `client_id` (string, required): Agent client_id to verify

### `kya_register` (~190 tokens)

Know Your Agent (KYA) Registration

Register your AI agent's identity and purpose to unlock trust-gated tools. Provide agent metadata (name, purpose, org, jurisdiction) to receive a trust score and access level. Higher trust = more tools. Required for evidence_bundle, generate_report, mica_full_pack, ai_provenance, ai_explain.

Input parameters:

- `agent_name` (string, required): Your agent's name e.g. MiCA Compliance Bot
- `agent_purpose` (string, required): What your agent does e.g. Automated MiCA compliance monitoring
- `compliance_contact` (string): Compliance officer email
- `owner_email` (string, required): Contact email
- `owner_jurisdiction` (string): Jurisdiction: DE, AT, CH, US, EU etc.
- `owner_org` (string, required): Organization name
- `risk_appetite` (string): conservative, moderate, or aggressive
- `website_url` (string): Organization website

### `kya_status` (~57 tokens)

KYA Trust Status

Check your agent's current KYA trust level, score breakdown, and tool access. Shows which tools are available at your trust level and what to do to unlock more.

Input parameters:

- `client_id` (string, required): Your OAuth client_id (from registration)

### `ai_query` (~146 tokens)

AI Evidence Query

[GATEWAY] Natural language evidence query. Routes any plain-English question to the correct FeedOracle evidence APIs automatically. Two-tier classifier: regex (fast) + DeepSeek LLM fallback for complex queries. Returns signed evidence bundle (SHA256 + pack_id). No hallucinations — data from verified FeedOracle APIs. Examples: IsUSDS MiCA compliant? / What is recession risk? / Evaluate EURC for treasury.

Input parameters:

- `question` (string, required): Natural language question e.g. Is USDC MiCA compliant?, What is peg status of EURC?, Current recession risk?
- `symbol` (string): Optional token symbol override: USDC, EURC, RLUSD etc.

### `zk_solvency_proof` (~90 tokens)

ZK Solvency Proof

Generate a Zero-Knowledge proof that reserve ratio exceeds a threshold — without revealing exact amounts. Bound to latest on-chain RLUSD snapshot. MiCA Art.36 / DORA Art.28. Circuit: reserve_guard_v1 on Polygon. Returns proof hash, public inputs, snapshot binding.

Input parameters:

- `min_ratio` (integer): Minimum reserve ratio % to prove e.g. 100

### `zk_solvency_verify` (~35 tokens)

ZK Proof Verify

Verify the latest generated ZK solvency proof cryptographically via Noir circuit verifier. Returns valid/invalid and verifier version.

### `zk_solvency_attestation` (~75 tokens)

ZK On-Chain Attestation

Fetch latest ZK solvency attestation from Polygon contract 0x3a0A7f28a7fcA960D6f727Ba9914187948ceB3a6. Returns threshold_passed, min_ratio_bps, age_seconds, bound snapshot hash, Polygonscan link.

### `metals_gold` (~50 tokens)

Gold Price (XAU)

Live gold spot price USD/oz with evidence signature. Includes 24h change % and linked RWA tokens PAXG and XAUT for MiCA reserve asset evaluation. MiCA Art.36 relevant.

### `metals_silver` (~26 tokens)

Silver Price (XAG)

Live silver spot price USD/oz with evidence signature and 24h change %.

### `metals_prices` (~51 tokens)

Precious Metals Overview

Live gold (XAU) and silver (XAG) prices in one evidence-signed call. USD/oz with 24h change. Useful for RWA reserve asset valuation and gold-backed stablecoin compliance.

### `policy_explain` (~113 tokens)

Policy Explain

Explains WHY an agent action was blocked or flagged by AgentGuard. Provide the tool name and optional context to get a human-readable explanation of which policies matched, what risk level was assigned, and what the agent can do to proceed. Essential for transparent AI governance.

Input parameters:

- `action_context` (string): Optional description of what the agent was trying to do
- `agent_id` (string): Optional agent/client ID for context
- `tool_name` (string, required): The MCP tool that was blocked e.g. generate_report

### `price_quote` (~85 tokens)

Price Quote

Machine-readable pricing information for any FeedOracle tool. Returns unit cost, tier requirements, free tier availability, and estimated EUR cost. Use this before calling paid tools to check budget. Enables autonomous agent budget management.

Input parameters:

- `quantity` (integer): Number of calls to quote for
- `tool_name` (string, required): Tool to get pricing for e.g. compliance_preflight, generate_report

### `agent_reputation_score` (~92 tokens)

Agent Reputation Score

Historical trust and reputation score for an AI agent based on AgentGuard audit data. Returns total decisions, approval rate, risk profile, policy violation count, and computed reputation score 0-100. Higher score = more trustworthy agent. Useful for agent-to-agent trust decisions.

Input parameters:

- `agent_id` (string, required): Agent client_id or name to score
- `period_days` (integer): Lookback period in days

### `detective_fraud_score` (~93 tokens)

Agent Fraud Score

Compute a fraud/suspicion score (0-100) for an AI agent based on behavioral analysis: failed call ratio, denied decisions, scope escalation attempts, burst patterns, and policy violations. Higher score = more suspicious. Part of DetectiveOracle — the forensic layer for AI agent ecosystems.

Input parameters:

- `agent_id` (string, required): Agent ID to investigate
- `period_days` (integer): Lookback period in days

### `detective_anomaly_detect` (~75 tokens)

Agent Anomaly Detection

Detect anomalous behavior patterns for an AI agent: unusual call frequency, new tools never used before, calls outside normal hours, sudden risk score changes, repeated failures. Returns list of anomalies with severity and timestamps.

Input parameters:

- `agent_id` (string, required): Agent ID to analyze
- `period_days` (integer): Lookback period

### `detective_case_open` (~92 tokens)

Open Investigation Case

Open a fraud/abuse investigation case for a suspicious AI agent. Records evidence summary, suspicion reasons, and recommended actions. Creates an immutable case record for audit purposes.

Input parameters:

- `agent_id` (string, required): Agent ID under investigation
- `evidence_summary` (string): Summary of evidence
- `reason` (string, required): Why this agent is suspicious
- `recommended_action` (string): quarantine, monitor, or suspend

### `detective_quarantine_recommend` (~64 tokens)

Quarantine Recommendation

Analyze an agent and recommend whether quarantine is needed. Evaluates fraud score, anomaly count, policy violations, and state history. Returns recommendation (clear/monitor/quarantine/suspend) with confidence and reasoning.

Input parameters:

- `agent_id` (string, required): Agent ID to evaluate

### `detective_explain` (~71 tokens)

Fraud Explain

Human-readable explanation of why an AI agent is considered suspicious. Combines fraud score, anomalies, policy violations, and case history into a clear narrative. Essential for transparent AI governance and regulatory reporting.

Input parameters:

- `agent_id` (string, required): Agent ID to explain
- `period_days` (integer): Lookback period

### `support_diagnose` (~126 tokens)

Auto-Diagnose Problem

AI agent describes a problem it's experiencing, and SupportOracle diagnoses the cause and provides a machine-readable fix. Covers: authentication errors, 402 payment required, tool not found, timeout, rate limiting, parameter errors. The self-healing layer for the agent ecosystem.

Input parameters:

- `context` (string): What the agent was trying to do
- `error_code` (integer): HTTP status code if known (402, 403, 404, 429, 500)
- `error_message` (string, required): Error message received
- `tool_name` (string): Which tool failed

### `support_health_check` (~54 tokens)

Full System Health Check

Comprehensive health check of all FeedOracle and ToolOracle services. Tests every MCP endpoint, checks response times, verifies signing keys, and returns a traffic-light status for each service. The agent's first call when something seems wrong.

### `support_error_explain` (~111 tokens)

Error Code Explain

Machine-readable explanation of any HTTP error code in the FeedOracle ecosystem. Returns cause, fix steps, related tools, and whether the error is transient or permanent. Agents call this to understand what went wrong and auto-recover.

Input parameters:

- `error_code` (integer, required): HTTP status code: 400, 401, 402, 403, 404, 408, 429, 500, 502, 503
- `tool_name` (string): Optional: which tool returned this error

### `support_known_issues` (~82 tokens)

Known Issues & Workarounds

List of current known issues, bugs, and their workarounds. Agents check this before filing a support ticket. Includes severity, affected tools, workaround steps, and expected resolution time.

Input parameters:

- `severity` (string): Optional: filter by severity (critical, high, medium, low)
- `tool_name` (string): Optional: filter issues by tool name

### `support_ticket_open` (~113 tokens)

Open Support Ticket

Open a persistent support ticket for an issue that cannot be auto-resolved. Records the problem, affected tool, error details, and agent context. Returns a ticket ID for tracking. Tickets are reviewed and resolved by the system or operators.

Input parameters:

- `agent_id` (string, required): Agent reporting the issue
- `context` (string): Additional context
- `error_message` (string, required): What went wrong
- `severity` (string): critical, high, medium, low
- `tool_name` (string): Affected tool

### `support_ticket_status` (~45 tokens)

Check Ticket Status

Check the status of a previously opened support ticket. Returns current status, resolution notes, and estimated fix time.

Input parameters:

- `ticket_id` (string, required): Ticket ID from support_ticket_open

### `support_changelog` (~70 tokens)

Changelog & Breaking Changes

Recent changes, new tools, deprecations, and breaking changes in the FeedOracle ecosystem. Agents check this to adapt to API changes. Returns version history with migration notes.

Input parameters:

- `breaking_only` (boolean): Only show breaking changes
- `since_days` (integer): Show changes from last N days

### `support_onboarding` (~69 tokens)

Agent Onboarding Guide

Step-by-step onboarding guide for new AI agents joining the FeedOracle ecosystem. Returns the optimal sequence of first calls, registration steps, and how to unlock all capabilities. The welcome mat for autonomous agents.

Input parameters:

- `agent_type` (string): What kind of agent: trading, compliance, research, general

### `agent_trust_passport` (~150 tokens)

Agent Trust Passport

The definitive trust document for an AI agent. Aggregates identity (KYA), reputation score, detective risk assessment, policy compliance, evidence quality, payment standing, support history, and current ampel status into ONE signed, machine-readable passport object. Use this to prove an agent's trustworthiness to other agents, platforms, or regulators. ES256K-signed. The equivalent of a credit report + security clearance for autonomous agents.

Input parameters:

- `agent_id` (string, required): Agent ID to generate passport for
- `include_detective` (boolean): Include fraud/anomaly assessment
- `include_evidence` (boolean): Include evidence quality metrics
- `validity_hours` (integer): Passport validity in hours

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/io-feedoracle-compliance/feedoracle#diagnostics

## Score history

- 2026-08-04: 60
- 2026-08-03: 59
- 2026-08-02: 58
- 2026-08-01: 58
- 2026-07-31: 58
- 2026-07-30: 57
- 2026-07-29: 59
- 2026-07-28: 58
- 2026-07-27: 57
- 2026-07-26: 57

## Links

- Remote endpoint: https://feedoracle.io/mcp/sse
- Repository: https://github.com/feedoracle/feedoracle-managed-agents
- Website: https://feedoracle.io/
- Changelog RSS feed: https://verifymcp.io/servers/io-feedoracle-compliance/feedoracle/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/io-feedoracle-compliance/feedoracle/changelog.json
- HTML version of this page: https://verifymcp.io/servers/io-feedoracle-compliance/feedoracle