"author:Alpha-Park" matching MCP servers:

Enables auditing of extracted balance sheets, income statements, and cash flow reports by reconstructing complex document tables and verifying mathematical consistency and formula balancing. It also performs cross-reference resolution and sensitive PII redaction, returning structured matrices and validation telemetry over MCP to clients like Claude Desktop, Cursor, and Windsurf.

Enables real-time injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic audit proofs for untrusted prompts, RAG context, and agent actions over MCP.

An MCP server that authenticates incoming webhooks from multiple providers such as Shopify, Stripe, GitHub, Slack, and PayPal using HMAC-SHA256 constant-time verification and timestamp replay-window validation. It lets agents validate and multiplex verified webhook events into dispatched event streams.

Enables detection and deterministic masking of personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys so sensitive data can be sanitized before further processing. Runs as a zero-dependency Python MCP server over JSON-RPC 2.0 stdio for use in Claude Desktop, Cursor, and other MCP-compatible clients.

Enables deterministic reconstruction of complex tables from OCR bounding boxes, including multi-column layouts, merged headers, grid hierarchies, formula auditing, and PII redaction through MCP.

Enables MCP-compatible clients to deterministically neutralize adversarial prompt injections and jailbreak overrides with zero-dependency, sub-millisecond heuristic analysis.

Enables reversible anonymization of SSNs, credit cards, passport numbers, emails, and phone numbers in prompts before sending them to external LLMs, and restores original tokens from completions using local HMAC isolation.

Enables agents to construct SHA-256 Merkle trees, generate and verify state inclusion proofs, validate JWT HMAC signatures, perform Schnorr zero-knowledge proofs, and enforce nonce replay protection for immutable state attestation.

Enables real-time indirect prompt injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic audit proofs over MCP.

Enables agents to ground claims in enterprise knowledge by hashing source chunks, tracing claims back to their origins, validating clearance boundaries, and maintaining audit trails to support anti-hallucination workflows.

Enables agent API request security by detecting and invalidating duplicated requests with sliding-window nonce replay protection, constant-time secret checks, JWT HMAC-SHA256 validation, Merkle inclusion proofs, and Schnorr zero-knowledge verification.

This MCP server enables real-time injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic Merkle audit proofs for agent prompts, RAG context, and actions. It provides tamper-evident SHA-256 tree generation, logarithmic inclusion proofs, and verifiable integrity checks through MCP.

Enables constant-time cryptographic attestation, zero-knowledge verification, JWT HMAC-SHA256 validation, Merkle proof inclusion, nonce replay protection, and secure digest comparison for agent security credentials via MCP.

Enables users to score credential strength using NIST-style bit entropy and keyspace calculations, estimate GPU brute-force cracking timelines, audit cross-account password reuse blast radius, and perform k-anonymity SHA-256 prefix privacy checks without exposing secrets.

Enables real-time sliding-window token velocity anomaly detection and adaptive rate-limiting through a native STDIO MCP server built entirely on the Python standard library. Exposes deterministic algorithmic checks that report anomalies and throttle behavior as JSON tool results for MCP clients such as Claude Desktop, Cursor, and Antigravity.

Enables real-time injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic audit proofs through the Model Context Protocol.

Enables enforcing memory boundary compartmentalization and multi-tenant security isolation for autonomous agents via a deterministic, zero-dependency Python skill. Seamlessly integrates with Claude Desktop, Cursor, and other MCP-compliant clients to execute isolation policies through structured JSON-RPC requests.

Enables enterprise context governance by auditing ingested content, classifying security clearance tiers, sanitizing cross-department prompts, and preventing data leaks through role-based permission boundaries.

Enables agents and applications to detect, inspect, and neutralize prompt injection, jailbreak attempts, and hidden instruction escapes in untrusted text before it is passed into prompts.

Enables agents to issue and validate cryptographic delegated payment mandates for tokenized checkout, enforcing spend limits, velocity thresholds, and merchant whitelists. Generates ephemeral single-use authorization tokens so commerce and workplace agents can complete purchases within policy boundaries.

Enables agents and services to perform on-behalf-of token exchange across enterprise systems, with scoped permission delegation, automatic token lifetime refresh, and zero-leakage ephemeral credentials. It runs as a zero-dependency MCP server over JSON-RPC stdio or as an importable Python module.

Enables synthesizing tight JSON authorization policies from historical agent tool-call audit logs, flagging over-permissioned wildcard grants and quantifying how much the attack surface shrinks. It also validates individual actions against the resulting guardrails to block privilege escalation.

Enables monitoring honeytoken decoy private keys for mempool activity, detecting and alerting on potential intrusions.

Enables agents and audit systems to hash execution logs into tamper-proof Merkle trees, compute cryptographic inclusion proofs, and verify audit-trail integrity on demand. It runs as a zero-dependency Python MCP server (stdio JSON-RPC) or as an importable module, exposing anchoring, proof generation, and integrity verification over local agent activity records.

Enables agents to encrypt and sanitize sensitive data such as credentials, credit card numbers, and addresses locally before dispatching prompts to cloud LLMs, then rehydrate the masked values client-side. It runs deterministically with zero external dependencies over MCP JSON-RPC stdio, so no plaintext PII leaves the user's machine.

Enables document layout parsing, complex table reconstruction, formula auditing, and PII/credential redaction with Luhn verification, reversible salt hashing, and audit logs through MCP-compatible clients.

Enables users to audit relational databases, vector embeddings, and activity logs for GDPR/CCPA erasure requests, apply legal-hold exemptions, perform cascading pseudo-anonymization, and generate cryptographic HMAC-SHA256 proof-of-erasure certificates.

Enforces autonomous merchant checkout token and velocity limits for Agentcard/Stripe transactions.