Schema | Sales-Engineering/RFP-Response MCP

Sales-Engineering/RFP-Response MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
get_security_attestationB	Returns a structured starting template for a security framework attestation. Frameworks: soc2_type_2, iso_27001, hipaa, gdpr, nist_csf, pci_dss. Replace bracketed placeholders with your specific facts.
get_questionnaire_responseA	Returns a starting-template response for a common security questionnaire question. Topics: encryption_at_rest, encryption_in_transit, access_control_least_privilege, vulnerability_management, incident_response, data_retention, subprocessors, data_residency, uptime_sla, ai_data_usage.
get_rfp_response_templateB	Returns a starting-template response for a common RFP section. Sections: company_overview, technical_architecture, integrations, pricing, sla_support, competitive_displacement, references.
get_competitive_battlecardB	Returns a battlecard scaffold for a competitive sales scenario. Scenarios: vs_legacy_incumbent, vs_modern_competitor, vs_diy_internal.
list_all_topicsB	Returns the full list of available frameworks, questionnaire topics, RFP sections, and battlecards.
search_questionnaireA	Search across all questionnaire topics by free-text. Useful when an AI agent has a question phrasing that doesn't directly map to a topic key.
get_full_packA	Returns the complete library — all frameworks, questionnaire Q&A, RFP templates, battlecards, and metadata. Useful for fine-tuning or full agent context loading.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/closermethod/sales-engineering-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server