Skip to main content
Glama
oleg-vdv

io.github.oleg-vdv/kepil

by oleg-vdv
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to io.github.oleg-vdv/kepil

No user-submitted related servers found.

    Related Servers

    • Dvarapala

      demolished-lab
      A
      license
      Not graded
      quality
      C
      maintenance
      Provides permission gates and tamper-evident audit logging for AI agent tool executions, with declarative policies, consent ladders, and hash-chained verification.
      MIT

    • nanoGentzen

      DigitLib
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to be governed by formal Gentzen sequent calculus proof trees, with human-in-the-loop approval gates and cryptographic audit trails for consequential actions.
      MIT

    • varco_mcp

      williamselmo1993
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-compatible AI agents to safely act on business backends by enforcing per-agent permissions, autonomy thresholds, human approval with review-and-edit, and full audit trails.
      MIT

    • last-mile-mcp

      markonu
      A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to act on live business objects under enforceable per-call identity, per-tool grants, and mandatory human approval for irreversible actions, with connectors isolated from core logic.
      8
      MIT

    • forge-agent-gate

      forgeorbital
      A
      license
      Not graded
      quality
      F
      maintenance
      Enables AI agents to execute prediction-market trades through a risk-control gateway that enforces signed mandates and generates proof trails for accountability.
      0
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.3/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of the workflow: profession discovery, order creation, step execution, status checks, pending human decisions, journal verification, and agent identity. There is no meaningful overlap between tool purposes.

    Naming Consistency3/5

    Names are consistently lowercase snake_case and generally readable, but the pattern is mixed: list_professions, create_order, run_step, and verify_journal use verb-first naming, while order_status, pending_confirmations, and agent_passport are noun phrases. This is not chaotic, but the two naming styles make the set less predictable.

    Tool Count5/5

    Seven tools is a well-scoped size for this domain. Each tool covers a necessary part of the order lifecycle without being redundant or excessive.

    Completeness4/5

    The core workflow is well covered: discover professions, create an order, execute steps, monitor status, see pending confirmations, verify the journal, and inspect the agent passport. The only notable gap is a lack of explicit cancellation or direct confirmation tools, but these may be intentionally handled outside the tool surface.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources